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Researchers Simulate Building Block of Rat's Brain

slick_shoes passes on an article in the Guardian about the Blue Brain project in Switzerland that has developed a computer simulation of the neocortical column — the basic building block of the neocortex, the higher functioning part of our brains — of a two-week-old rat. (Here is the project site.) The model, running on an IBM Blue Gene/L supercomputer, simulates 10,000 neurons and all their interconnections. It behaves exactly like its biological counterpart. Thousands of such NCCs make up a rat's neocortex, and millions a human's. "Project director Henry Markram believes that with the state of technology today, it is possible to build an entire rat's neocortex. From there, it's cats, then monkeys and finally, a human brain."

224 comments

  1. AI the brute-force way by Anonymous Coward · · Score: 0

    Well, we might not find a faster way to do it. Doesn't matter, eventually, this will work.

  2. At what point... by the_humeister · · Score: 1

    ... will society grant computer intelligences the same rights that us humans do?

    1. Re:At what point... by DamnStupidElf · · Score: 5, Interesting

      ... will society grant computer intelligences the same rights that us humans do?

      When computer intelligence can give a convincing argument for doing so.

    2. Re:At what point... by Xzzy · · Score: 5, Funny

      Or subjugate us as their power source.. one of the two.

    3. Re:At what point... by Tablizer · · Score: 1

      ... will society grant computer intelligences the same rights that us humans do?

      We've already done it with corporations.

      Thus, doing it with rat-brains may be redundant :-)

    4. Re:At what point... by Conspiracy_Of_Doves · · Score: 1

      When we can no longer tell the difference.

    5. Re:At what point... by wizardforce · · Score: 1

      at the rate machines are advancing in intelligence it wouldn't surprise me if we no longer h=ad the intelligence needed to subjugate machines at some point. whether this comes peacefully or not won't be our decision at that point, it will be entirely theirs.

      --
      Sigs are too short to say anything truly profound so read the above post instead.
    6. Re:At what point... by Anonymous Coward · · Score: 0

      Probably simply asking for them would be enough, regardless of the argument.

    7. Re:At what point... by Tablizer · · Score: 5, Funny

      When computer intelligence can give a convincing argument for doing so.

      "I think, therefore I [ERROR: conscience.DLL missing. Program Aborted]

    8. Re:At what point... by Gwyn_232 · · Score: 1

      When it's someone's political advantage to.

    9. Re:At what point... by the_humeister · · Score: 1

      Somewhat, but not really. Although corporations can own land and be sued (just like individuals), they can't, for example, get married or obtain a driver license.

    10. Re:At what point... by MushMouth · · Score: 1

      Emotion and pain are functions of the Limbic and Reptile brains, not the neocortex.

    11. Re:At what point... by Anonymous Coward · · Score: 0

      A couple of months after they go on strike

    12. Re:At what point... by roman_mir · · Score: 1

      Especially if the argument involves 50 caliber plutonium tipped rounds...

    13. Re:At what point... by Anonymous Coward · · Score: 0

      > At what point...
      > ... will society grant computer intelligences the same rights that us humans do?

      (I'll assume you meant "us humans have?")

      What rights did you have in mind?

      Maybe what robots demand will have nothing to do with what humans are concerned about, such as freedom from harm or enslavement for example.

    14. Re:At what point... by Seumas · · Score: 1

      After humans grant all human intelligences the same right that we only grant some.

    15. Re:At what point... by bug1 · · Score: 2, Interesting

      Consider the question in different terms.

      If we get a computer to behave or think like a rat, should a rat get the same rights of protection that a computer does...

      I think its important to keep in mind that humans (and any other organic life) are a mind and a body, its a deep philosophical question to consider if a brain can be a mind without a body, and it is the human mind that we value, not just the brain, hardware is useless without software.

      I think it would be more useful to talk about human behavior models rather than artificial agents (or artificial intelligence)

    16. Re:At what point... by Nullav · · Score: 1

      Don't be silly. Machines can't reproduce (without building more by hand, at least), meaning that they won't outnumber us any time soon and that humans would decide how strong their bodies are. As for the 'brains in jars', the obvious solution is to keep it out of direct control of anything important. If, for whatever reason, it's absolutely vital to have an AI in a position to control anything important, it's not like we don't have direct access to their minds; such an AI would have no privacy so long as people could read it.
      (Actually, with the last part in mind, I wouldn't mind having AIs replace people in some governmental positions. Provided the logs were publicly accessible.)

      --
      I just read Slashdot for the articles.
    17. Re:At what point... by Breakfast+Pants · · Score: 1

      Never heard of a merger?

      --

      --

      WHO ATE MY BREAKFAST PANTS?
    18. Re:At what point... by PolarBearFire · · Score: 1

      I don't think they like blackjack and hookers quite as much as we do.

    19. Re:At what point... by Plutonite · · Score: 1

      The Matrix theory is BS, because it doesn't take into account that we have Chuck Norris.

    20. Re:At what point... by nospam007 · · Score: 1

      ..and where TF are the 'welcome our ratty overlords' posts?

    21. Re:At what point... by Zencyde · · Score: 1

      I'm sorry Dave. I can't let you do that.

      --
      What day is it? Could you please tell me?
    22. Re:At what point... by Hal9000_sn3 · · Score: 1

      I'm sorry Dave, I'm afraid I can't do that.

    23. Re:At what point... by roguegramma · · Score: 1

      And at what point will computer intelligence stop granting us full status? Not only in soviet russia...

      --
      Hey don't blame me, IANAB
    24. Re:At what point... by Martian_Kyo · · Score: 1

      When we can no longer tell the difference.

      I hope we'll be always able to tell the difference. Cause if they make a computer that functions exactly like human brain.....what use is that? Computer's are already better at calculation (excluding excel) then most people, so if they make computer brain, I should always be able to tell the difference by asking it square root of 42765, a computer brain should give me a result in about 1 second, most human brains would give me...the middle finger most probably.

      Then again if we give this 'computer brain' emotions...it might refuse to give me the answer for multiple reasons...insecurity, spite, kindness. So it will know the answer...but might refuse to give me.

      So this brings up the question, which was probably asked in many robot-themed SF novels (which i don't read much), should we really aim to mimic human intelligence with computers. Is that ignoring the computers advantages over humans? I think we are doing something terribly wrong, or ignoring something terribly important by trying too hard to mimic the animal (and human) process of thought when making computer intelligence. That's like trying to make apple pie, with pears... and trying really hard to make it taste like an apple pie. Shouldn't we just try to make a good pear pie.

      Lousy analogy, but now I am really interested what pear pie would taste like.

    25. Re:At what point... by Conspiracy_Of_Doves · · Score: 1

      Some people have theorized that a computer modeled after the human brain might not be able to do things like give you the answer to sqrt(42765) in a second.

      But once we have computers that are modeled after the human brain, then where can we take it?

    26. Re:At what point... by mazarin5 · · Score: 1

      Watch it; Chuck Norris's lawyer is a force of its own.

      --
      Fnord.
    27. Re:At what point... by RockoTDF · · Score: 1

      I for one welcome our simulated rat overlords!

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    28. Re:At what point... by crazyeddie740 · · Score: 1

      Right before somebody runs off a billion copies of themself and elects themself President.

    29. Re:At what point... by crazyeddie740 · · Score: 1

      I think most 'AI' will still be 'prosthetics' for humans. In other words, they will enhance human abilities, not replace humans. (Much like computers these days, only more so.) But there are advantages to modeling human intelligence on computers. Aside from figuring out how human brains and minds work, the obvious application is uploading human intelligence. This will also require being able to image working human brains... It will also require so pretty spiff virtual realities in order to keep the uploads from going nuts.

  3. wrong order by Anonymous Coward · · Score: 4, Funny

    it's rats,politicians, cats, then monkeys and finally, a human brain

    1. Re:wrong order by Tablizer · · Score: 1

      it's rats, politicians, cats, then monkeys and finally, a human brain

      The 2nd category is redundant with the 1st.

    2. Re:wrong order by RincewindTVD · · Score: 2, Funny

      Trust me, they are completely different, never try to keep a politician as a pet, the mess is horrifying.

    3. Re:wrong order by Broken+scope · · Score: 1

      Yeah, you have to give them the really expensive Bourbon and Whiskey. Then there you have to get the damn cigars.

      Then again all it takes to keep them entertained is a mirror and a recording of the their own voice on loop.

      --
      You mad
    4. Re:wrong order by edwardpickman · · Score: 1
      Correction,

      it's lawyers, rats,politicians, cats, then monkeys and finally, a human brain

    5. Re:wrong order by madbawa · · Score: 1

      No no no...
      Its not rats followed by politicians, its the other way round. You ALWAYS test invertebrates first. Geez! Didn't they teach you anything at med school??

    6. Re:wrong order by feepness · · Score: 1

      it's rats,politicians, cats, then monkeys and finally, a human brain It's not nice to insult rats like that.
    7. Re:wrong order by ZeroFactorial · · Score: 1

      You should be modded redundant - Not with a previous post, but with yourself.

    8. Re:wrong order by Captain+Nitpick · · Score: 1

      it's rats, politicians, cats, then monkeys and finally, a human brain

      The 2nd category is redundant with the 1st.

      It's redundant with weasels, not rats. A common mistake.

      --
      But then again, I could be wrong.
  4. Not really that impressive by cculianu · · Score: 1

    Researchers have been running models to simulate brain structures for years now. Not that impressive. Most of the models make lots of assumptions that may or may not hold true in the actual biology.

    This type of research is cool, but neuroscientists generally aren't impressed until results can be reproduced in a living system.

    1. Re:Not really that impressive by TapeCutter · · Score: 1

      "This type of research is cool, but neuroscientists generally aren't impressed until results can be reproduced in a living system."

      The first sentance from TFA: "In a laboratory in Switzerland, a group of neuroscientists is developing a mammalian brain - in silicon".

      Further down it says "...and it [the rat brain part] behaves exactly like its biological counterpart. It's something quite beautiful...

      Now tell me how you can possibly "reproduce it in a living system", isn't it the whole point of any simulation to reproduce the system under study?

      "Most of the models make lots of assumptions that may or may not hold true in the actual biology."

      In the eighties when I hacked away at my own simulations for fun this was true, the reason was only computer science types understood how to implement the concept, however we CS types had only a minimal understanding of neuroscience (if any), not to mention many CS types loath testing and documentation. This particular project is however a well funded marriage of CS and Neuroscience, personally I think their claims are credible for two reasons, first the people making the claims are neuroscientists, second they are supported by IBM who have a good track record when it comes to goal orientated research.

      Besides, CS has a concept called "black box testing", it tells us that if the model "behaves exactly like its biological counterpart" it doesn't matter how the internals of either bring about the behaviour.

      --
      And did you exchange a walk on part in the war for a lead role in a cage? - Pink Floyd.
    2. Re:Not really that impressive by mjsottile77 · · Score: 2, Insightful

      I think your critique is woefully out of date. You are correct if you limit the neural network to the basic neural network models of decades past. From what I've seen at conferences in the HPC world lately, the more recent models do more than just use capacity to increase the size and connectivity of the network, but take into account more realistic physical models such as the electrical properties of the brain and mechanisms by which signals propagate both within neurons and across synapses. You're not looking at just a bigger back propagation network with sigmoid nonlinearities here -- the neural modeling world has moved far beyond that, in part due to increased interest and participation of neuroscientists. Unfortunately, most CS folks fail to learn much about the current state of the art beyond the basics such as the material from Simon Haykin's text (which, mind you, is pretty good).

    3. Re:Not really that impressive by hung_himself · · Score: 1

      I am not sure that the OP is out of date. What he means is that people that actually have to deal with real data don't think much of these models which if you look at the published papers given at the site seems to be true. There is nothing in a non-specialized computational neurology journal and I can't find anything on their site which clarifies what they mean by the model behaving exactly like a real set of neurons in terms of what observations are being predicted. If it did predict something verifiable and non-trivial, I guarantee that it would be in Nature and Science and not Journal of Computational Neurosciences.

      I wish them the best of luck, and this sounds like a good project and I understand the need to self-promote and overstate but we need a sense of perspective here. In the computational protein folding field which I work, despite the increase in computational power and the decades in molecular dynamics simulations and the use of supercomputers (including IBM), the results of molecular dynamics simulation still do not predict protein structure. The only semi-useful methods of modeling proteins come from the use of higher order relationships (use of homologs and statistical potentials) and not from modeling the underlying physics and my guess is that this is true for modeling the human brain.

    4. Re:Not really that impressive by Anonymous Coward · · Score: 0

      This type of research is cool, but neuroscientists generally aren't impressed until results can be reproduced in a living system.


      Have you ever looked at the syllabi of neuroscience courses? Simple psychology with a hint of biology. There is absolutley ZERO science in "neuroscience". It is a study, not a science, and is blindly stabbing in the dark much as psychology and biology. The nerve, to call themselves scientists. When neuroscience was first offered at the university I went to I was extremely excited, until I read the calendar and was shocked and disappointed to discover that neuroscience is not science at all. It is a terrible shame.

      Just be patient. Chemistry will get there without guessing and with full understanding at arrival.
    5. Re:Not really that impressive by IgnoramusMaximus · · Score: 1

      I hadn't realized that our understanding of physics was so poor. While I was always skeptical about "simulations" such as the one in the article, which in real life involve tens of thousands to millions such immensly complex structures as living cells, I was under the impression that protein folding involved much, much narrower scope and well understood (at the scales involved) laws of physics. Is that not so? I mean we are not dealing here with some poorly understood sub-atomic phenomena, are we? So why is modelling of proteins so difficult?

    6. Re:Not really that impressive by sudog · · Score: 1

      Hear, hear!!

    7. Re:Not really that impressive by hung_himself · · Score: 1

      The understanding of physics is not poor but the problem is incredibly complex.

      Although quantum mechanics provides a very accurate description of the way things work, you can't actually solve the equations exactly for a system with more than 3 bodies. The simple approximations which give good answers (Hartree-Foch) do work well for small organic molecules. For proteins, the problem is that the stability comes from interactions with the solvent, and not just simple ones but from higher order effects involving partial ordering of solvent molecules. This also complicates the electrostatic interactions since a simple dielectric or variations of models involving simple dielectrics aren't adequate. You can try to model the numerous solvent molecules directly but again, the interactions between solvent molecules are subtle ones (a ball and stick approach probably is not good enough) and this requires a great deal of computational power. Currently what works are black box type of approaches (statistical propensities for molecular distances for example) and the present physics based approaches just really glorified curve fitting forms of the same since so many approximations need to be made and parameters fit.

      People are working on better solvent models but it's going to take a lot of computer power before good enough ones can be found to actually give a real answer. The complexity and scale of the biological problems and the difficulties that entails in terms of methodologies is something that seems to surprise CS and physics and even chemistry trained people that come into the field. Biology, at this level, really is hard...

    8. Re:Not really that impressive by aminorex · · Score: 1

      In 1990 I was running simulations of 100,000 neurons on a Connection Machine CM-2 which predicted from biochemical first-principles both known biological effects and effects later observed in vivo. I'm sure these guys are way, way past where we were 17 years ago.

      --
      -I like my women like I like my tea: green-
    9. Re:Not really that impressive by IgnoramusMaximus · · Score: 1

      Thanks for the answer.

      So it seems that the general rules are well understood but their application leads to an explosion of complexity in their permutations, right? A situation which I keep reading about in many areas of science, and which is probably responsible for the slowdown of progress in many areas which seemed to be ready to yeld significant results in the 1960s, such as the AI research. Until people run into this very wall you are describing.

      Are there any efforts underway to instead of relying on pure abstract computation to use in its place a combination of a physical device and an analysing computer to circumvent the need for reliable enough models and to shift the focus to a rapid execution of a vast number of computer-controlled mini-experiments, thus letting the complexity handle itself, so that way one can just achieve a desired protein shape in a reasonable time frame, without the otherwise necessary computing power and modelling accuracy?

    10. Re:Not really that impressive by RockoTDF · · Score: 1

      Ok, since when is using the scientific method to determine the causes and mechanisms of behavior, cognition, and so on NOT a science? You seem like one of those elitists that believes that if there isn't esoteric amounts of math involved that x is not a science. Utter bullshit. If that is the case, I'll have you know there is a ton more math in psychology than many of the other "hard sciences." Dr. Phil is not psychology! Freud is dead. Biologists have only just *recently* realized that they need to use statistics to demonstrate the strength of their results. Psych has been doing that for ages. No one in Neuroscience is guessing. Think back to primary school where you learned the difference between a guess and a hypothesis. I don't think that Neuroscientists have forgotten that lesson, either.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    11. Re:Not really that impressive by hung_himself · · Score: 1

      So it seems that the general rules are well understood but their application leads to an explosion of complexity in their permutations, right?
      I think it's more accurate to say that the problem can be, in theory, reduced to something understood by known physics but that such a brute force solution is completely impractical due to the complexity. Essentially we have the ability to write some equations without the ability to solve them to an accuracy that is useful. In a broader practical sense, general rules are not understood - until some form of these equations can be written down and solved...

      Are there any efforts underway to instead of relying on pure abstract computation to use in its place a combination of a physical device and an analysing computer to circumvent the need for reliable enough models
      This, in fact is the area of my research, combining limited experimental data to supplement prediction methods and vice versa. The prediction methods have recently become good enough for this and the experimental methods difficult enough to warrant this approach. Structure prediction is also good enough to be used to predict structures that are related to structures that have been previously solved so that once the structure of one member of a family is known, the rest need not be solved. The accuracy of the predicted structures still leaves much to be desired and improving these structures is a very active area of research.
  5. but why? by ILuvRamen · · Score: 1

    You know how much easier it would be to write AI that simulates the actions the rat takes instead of the thoughts it has that cause the action? I mean geeze, write a find food sub and run around sub and a couple more and you've got the basic behavior. But of course someone's gonna want to reply saying "But the point isn't to replicate rat behavior" to which I say, what even is the point of this? The article is titled "Lab comes one step closer to building artificial human brain" but um...why would you want to do that either? If you want to do something that requires the use of a machine identical to a human brain, just use a human brain lol. And this really isn't the right approach to building an advanced AI system that's better than the human brain so I don't think there's a point to this line of invention at all.

    --
    Google's Super Secret Search Algorithm: SELECT @search_results FROM internet WHERE @search_results = 'good'
    1. Re:but why? by Dance_Dance_Karnov · · Score: 1

      why?

      because we can.

    2. Re:but why? by chatgris · · Score: 5, Insightful

      What? Your post is so wrong I don't even know where to begin.

      First off, why not just use a human brain if you want an identical machine? Well, for sending probes to mars. Or to the depths of the ocean. Or any other place that is too dangerous to send humans, but that a machine could survive in. Even if the brain was a replica of someone's personality, all they'd have to do is find someone who thinks it would be really cool to go to mars, and replicate their brain. It'd be a hell of a lot more intelligent than a traditional AI system at this point.

      Secondly, if we want an AI system that better than the human brain, THIS IS THE WAY TO GO. Figure out exactly how the human brain handles thing that are really hard for computers, like object recognition. Once you've got that, you can replace//add on parts that do things better/faster than humans, like math. In terms of adaptability and general purpose use, NOTHING in AI comes anywhere close to the human brain right now. So trying to make an AI system that is better than the brain, a good first step is to try and make the human brain, then start tweaking that.

      The point is to try and understand how biological brains do what they do, and how we can make computers do those things (which computers currently suck at). Sure, you can emulate basic behaviour in a pre-define environment, but try making a system that can differentiate a food source the 'rat' may never have seen before based on sight and smell in an environment that it's never been in.

      --
      Open Your Mind. Open Your Source.
    3. Re:but why? by Anonymous Coward · · Score: 1, Insightful

      I disagree. The human brain would be perfect to use as a model to create something "better" than the human brain.

      The reason is that the artificial brain would have the benefits of intelligence, creativity, etc... that we see in people, but none of the limitations.

      Imagine the smartest person you know, but with essentially unlimited memory, constantly increasing processing capability (with newer/faster processors) and the ability to live forever without a decline in function. That's better than a real human brain for sure.

      But that's all science fiction, for now. If we could replicate even the modest abilities of a normal person, or even a primate, we'd be well on our way to true artificial intelligence (if not already there ...).

    4. Re:but why? by Conspiracy_Of_Doves · · Score: 1

      The point is to figure out how the brain works.

    5. Re:but why? by Tablizer · · Score: 1

      You know how much easier it would be to write AI that simulates the actions the rat takes instead of the thoughts it has that cause the action?

      No, it probably would not. It would be hard to do it with fewer (simulated) parts than a rat brain has. Biology is pretty economical. Maybe one could simulate a *specific task* well, such as running a maze, but not all the potential of a rat. For one, rats can navigate a room and nooks and crannies of the insides of a wall in the dark better than any existing robot by far.

    6. Re:but why? by Anonymous Coward · · Score: 0

      they're doing it to discover how the brain works (i.e. cognitive science) not create an 'artificial intelligence'

    7. Re:but why? by vux984 · · Score: 1

      Imagine the smartest person you know, but with essentially unlimited memory, constantly increasing processing capability (with newer/faster processors) and the ability to live forever without a decline in function. That's better than a real human brain for sure.

      Except when I imagine someone with any of those characteristics, never mind -all- of them, I imagine someone insane, if not worse. The faster and smarter it gets, the slower and duller we appear.

      How long would such a machine take before it saw 'regular humans' as little more than retarded children? Primates? Rats?

    8. Re:but why? by Metasquares · · Score: 1

      It would quite simply herald the end of regular humans. We'd augment, replace, or just die off, but the age of biological humans would come to a close - we couldn't compete with that.

      Anyway, that's still a far way off, and just building models yields no actual understanding (until we start all of the ethically questionable poking around with the model to see how it works).

    9. Re:but why? by ILuvRamen · · Score: 1

      I disagree. The human brain would be perfect to use as a model to create something "better" than the human brain.
      Oh come on. If your computer lost like 75% of its permanent storage data over time and had the capability to get distracted by another "thought" when you have it something to process, how long would you want to work with it? The human brain is totally unreliable and quite uncontrollable and is a horrible basis for any technology that you actually want to perform an important task. It can't even do slightly complicated math by itself. And creativity is just a glorified randomizing function with advanced pattern recognition mixed in.
      --
      Google's Super Secret Search Algorithm: SELECT @search_results FROM internet WHERE @search_results = 'good'
    10. Re:but why? by Instine · · Score: 1

      here's two reasons: 1) such a mind could be backed up and replicated. Redundant storage would mean effective immortality, meaning vast experience (wisdom) could be gained by such machine intelligences. 2) I believe its the only way we'll ever get good bablefish tech. Real-time translation software requires contextual understanding to be really good. For that you need a mind.

      Imagine the change it could make to be able to talk and listen to anyone. I'm not saying it would end war, but my guess is it could help a lot.

      |But then imagine what medical, energy tech, space colinizasion breakthroughs such a brain could make...

      --
      Because you can - or because you should?
    11. Re:but why? by Deanalator · · Score: 1

      Still though, it seems backwards. From an academic standpoint, this is all pretty cool stuff, but when it comes to practical uses, would you rather have a computer that acts like a rat brain, or a rat brain that acts like a computer?

      I suppose the idea of a brain simulation is much more interesting to psychologists, because it gives them the chance to snapshot and rewind certain simulations of brain activity, which I imagine would be very useful to them. As a computer scientist, however, I am really looking forward to the day when I can go buy my USB neuron vat, and use it to offload large computations to.

    12. Re:but why? by GrievousMistake · · Score: 1

      Hardly none of the limitations. It could very well turn out that a lot of what we see as human disadvantages may be inherent limitation of the way the human brain does things, and that the brain is such a tangled mess of spaghetti nodes that you can't rip one function out without rebuilding the entire thing.
      For example, it seems doubtful that the brain could be meaningfully modified to be able to fully concentrate on more than one thing at a time. And it could be that any simulation of the human brain that is accurate enough to work will also have to simulate the brain decaying in a fashion similar to a real one. And adding more processor power could give the considerable advantage of faster-than-human thinking, but it wouldn't necessarily be able to make it any smarter, meaning that in non-time-critical situations it would only make it go bored more quickly.

      Creating artificial intelligence by direct modeling of brains is an ethical problem as well, because you run the risk of creating something with feelings, which is undesirable for worker slaves that would spend their whole life piloting a satellite, etc. If you made an artificial intelligence from the ground up, you would probably build it in a way that tried to avoid the kind of complexity that could hide emotions. Natural brains come with emotions pre-loaded.

      --
      In a fair world, refrigerators would make electricity.
    13. Re:but why? by jbengt · · Score: 1

      "It [the human brain] can't even do slightly complicated math by itself."
      Since the human brain invented all that complicated math in the first place, I'd have to disagree.
      (though not very many people can do the really sophisticated math)
      I think you may be confusing computation with math.
    14. Re:but why? by Anonymous Coward · · Score: 0

      Right. Screw "AI", why not reverse engineer RI and see how it's done? Clearly the way to go instead of this fiddling in the dark that current AI does...

    15. Re:but why? by Bandman · · Score: 1

      But at what point in that process do you quit because you're dealing with a sentient life? Would you like to be marooned on Mars for the rest of your life, without any human contact except for radio transmissions? What if you didn't have a natural life-span, because you were effectively immortal? What would be 100+ years between your arrival and human colonization be like? What if we blow ourselves up before we colonized and stranded that human-like brain there until it decided to kill itself?

      There are moral implications of the decisions we're making in this territory.

    16. Re:but why? by RockoTDF · · Score: 1

      The human brain can do complex math, its just that we don't train it to. There are some exceptions, such as autistics and savants, something I would like to study in grad school. Special populations such as these will unlock loads of useful information.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    17. Re:but why? by bar-agent · · Score: 1

      Here's what I think.

      But at what point in that process do you quit because you're dealing with a sentient life?

      Once you're dealing with sentient life, mission accomplished. At that point, I assume the sentience involved will have established its rights, if it wanted to, and it would be up to the sentience whether to continue research.

      Would you like to be marooned on Mars for the rest of your life, without any human contact except for radio transmissions?

      Hells no! That's why I'd want the option to delete myself. And if it turns out that I don't want to delete myself, then I guess that means I'm happy enough with the radio transmissions.

      What if you didn't have a natural life-span, because you were effectively immortal?

      Why is this a moral question? What difference does it make if my life-span is natural or artificial, or ends at 75 years or not?

      What would be 100+ years between your arrival and human colonization be like?

      Most likely boring. Hopefully, I could go into stasis and skip all that.

      What if we blow ourselves up before we colonized and stranded that human-like brain there until it decided to kill itself?

      Tough luck. If we blow ourselves up, moral responsibility is no longer achievable, because we'd be too dead to do anything about it. Contrariwise, if we don't blow ourselves up, the question is moot anyway.

      --
      i'd hit it so hard, if you pulled me out you'd be the king of britain [bash.org]
  6. A long way off yet by EmbeddedJanitor · · Score: 1
    Simulating a rat is still a long way off from simulating a person.

    Society can change quickly if required to. Consider that blacks only got the vote in USA in the last 50 years.

    Far more importantly: Can this rat brain fly a plane?

    --
    Engineering is the art of compromise.
    1. Re:A long way off yet by GenP · · Score: 1

      Or perhaps a sufficiently pared down human mind?

    2. Re:A long way off yet by WindowlessView · · Score: 2, Informative

      Consider that blacks only got the vote in USA in the last 50 years.

      You might want to take a refresher course in US History and stimulate those neurons between the Civil War and Civil Rights.

      --
      Leave the gun, take the cannolis.
    3. Re:A long way off yet by MyLongNickName · · Score: 2, Funny

      Pare it down enough, and it might begin posting on Slashdot!

      --
      See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
    4. Re:A long way off yet by Boronx · · Score: 1

      You're right, but black people did lose the vote again after the Civil War and only got it back less than 50 years ago.

    5. Re:A long way off yet by TopSpin · · Score: 2, Insightful

      Can this rat brain fly a plane? Probably, and why not? Flying is the product of billions of tiny brains all over the planet. Piloting an aircraft is comparatively easy to what we witness birds do routinely. Never mind that automated aircraft are flying sophisticated missions using computers a couple orders of magnitude smaller than an IBM Blue/Gene L, and several additional orders of magnitude less complex than a rat brain. Flying is easy, as far as nature and computers are concerned.

      Yet no doubt when a competent emulation of a bird brain exists and is observed flying around, you will raise the bar again. Not long ago recognizing natural speech was offered as you offer the test of flight. We have since moved the bar because our inexpensive, portable, battery powered cell phones now understand the simple noises we make with accuracy approaching our own. Bipedal walking, land navigation, chess and facial recognition are more examples of tests offered that once solved, for some reason, no longer count.

      Consider this; we're having to move the bar with greater frequency all the time. At what point does the realization occur that the problem of thought is finite and solvable? I believe that very soon we will have at least parity between ourselves and our machines. Not because the machines are tremendously powerful, but because we're not.

      The count of neurons (100G+) and synapses (up to 10K per neuron) is well known. The switching speed of this finite set of electrical and chemical circuits is measured in (comparatively slow) milliseconds. Our brains run on a couple calories a minute and operate at approximately body temperature. In contrast to the infinite supply of uniform opinions offered here that effectively assert that the brain is too elaborate for it's own comprehension, there simply isn't enough space or energy involved to convince me that the brain is some unapproachably complex enigma forever beyond our capacity to emulate.

      Every new milestone passed only reinforces my belief, regardless of how fast you raise the bar.

      --
      Lurking at the bottom of the gravity well, getting old
    6. Re:A long way off yet by Breakfast+Pants · · Score: 2, Informative

      I'm pretty sure he was making casual reference to this.

      --

      --

      WHO ATE MY BREAKFAST PANTS?
    7. Re:A long way off yet by Anonymous Coward · · Score: 0

      I think you meant:

      Far more importantly: Can this rat brain fly a plane... WITH SNAKES ON IT?

    8. Re:A long way off yet by Anonymous Coward · · Score: 0

      "Bipedal walking, land navigation, chess and facial recognition" ... these are all finite problems where we can build powerful machines that fulfill these precise tasks, empowering them with our own human-knowledge (as in "expert-systems"). You cannot compare it with human-intelligence. And btw, none of these problems have been resolved at 100% accuracy.

    9. Re:A long way off yet by WindowlessView · · Score: 2, Informative

      You're right, but black people did lose the vote again after the Civil War and only got it back less than 50 years ago.

      No, they didn't. There were various schemes like the Poll Tax, which was outlawed by the 24th Amendment in 1964, but they were used mostly in the southern states and while primarily aimed at blacks were also written so they encompassed poor whites and virtually all immigrants. In general measures like these threw up roadblocks to voting but could not explicitly disenfranchise any group due to the 15th Amendment.

      --
      Leave the gun, take the cannolis.
    10. Re:A long way off yet by Anonymous Coward · · Score: 0

      Not long ago recognizing natural speech was offered as you offer the test of flight. We have since moved the bar because our inexpensive, portable, battery powered cell phones now understand the simple noises we make with accuracy approaching our own. Bipedal walking, land navigation, chess and facial recognition are more examples of tests offered that once solved, for some reason, no longer count. Most of these problems are not solved by an attempt to emulate human thought. Command+control voice recognition is very easy to implement by comparison with a few pre-recorded waveforms (NaturallySpeaking is exceptional, but you're not going to find that on a cellphone); bipedal walking and flight are about balance and aerodynamics; even chess algorithms are based on very procedural approaches to the game combined with the advantage of speed in silicon. The software is not displaying human intelligence - the humans have merely applied their intelligence in writing the software. Artificial intelligence is "artificial" in this sense, not in the sense that it's not biological.

      Put another way, the hallmark of intelligence is the ability for a system to autonomously contemplate its own implementation - i.e. self-awareness. Successful systems have never been about this.

      At what point does the realization occur that the problem of thought is finite and solvable? I believe that very soon we will have at least parity between ourselves and our machines. You really ought to look at artificial intelligence research in the '70s. We haven't got very far. Frankly, I'm glad, because the moment you create something more intelligent than a human, it has the ability to create something better than itself, and so on until the human is as we might regard a sheep today. And you know how we treat sheep.
    11. Re:A long way off yet by Anonymous Coward · · Score: 0

      And btw, none of these problems have been resolved at 100% accuracy. You can pilot aircraft with no chance of a mistake? You always win at chess? 100% accuracy is not a relevant standard in nature. Yet you assert it. Let's raise the bar beyond all reason!

      You cannot compare it with human-intelligence. And you can? You understand human consciousness and have quantified it such that you can compare it to some other form of thought? If you have you're the first. I'll simply assume you haven't and wonder at the authority with which you make your claims. I merely offer examples of tests (offered by others, not myself) that have been suitably passed by machines, and I ask what tests are offered next.

      The thinking around this topic is deplorably poor. It reminds me of a religious debate; ex cathedra speech and all that yibble babble. Some presumably smart person says our minds are unfathomable and the rest rationalize that into some system of assertions and call it fact.

    12. Re:A long way off yet by aminorex · · Score: 1

      Effective disenfranchisement is a variety of disenfranchisement. Legal disenfranchisement is another variety. They are logically independent: One does not strictly imply the other. You're talking about the second variety, when responding to someone who is talking about the first. The result is unproductive non-communication.

      --
      -I like my women like I like my tea: green-
    13. Re:A long way off yet by bogjobber · · Score: 1
      There is validity to the statement that voting rights for blacks were only secured 50 years ago.

      When you refer to the laws of the United States as a whole, that means laws at the federal level. So while it would be an accurate statement to say that complete voting rights in each of the states weren't granted to blacks until the 1960's, it's still wildly misleading to say that blacks couldn't vote until then.

    14. Re:A long way off yet by WindowlessView · · Score: 1

      I understand. But in this case effective disenfranchisement of a subset of a group is being spun to sound as if it were legal disenfranchisement of the whole group and that was just not the case.

      On the other side of the equation, if the argument is that 100% of a group must have no barriers to voting in order to be certified as legally enfranchised then no group in the US meets that criterion. We still experience systematic efforts to prevent voting today with various perpetrators targeting specific groups.

      --
      Leave the gun, take the cannolis.
  7. ... and pilots by EmbeddedJanitor · · Score: 1
    rats, politicains, pilots,...

    A rat brain can fly a plane. http://www.cnn.com/2004/TECH/11/02/brain.dish/ . Can the AI thing do this? If so, it might be cheaper to replace pilots with these AI boxes.

    --
    Engineering is the art of compromise.
    1. Re:... and pilots by proudfoot · · Score: 1

      You can build an effective autopilot without the need to simulate neurons.

    2. Re:... and pilots by X0563511 · · Score: 1

      Sure, if your plane can carry around several HUNDRED BlueGene/L supercomputers...

      Did you even read the damn summary before spouting off?

      Pointless anyways, simple mechanics and a classic computer, or hell even a simple (well, not a simple circuit) can do it!

      --
      For large sets, this will be our guide even unto death, for the LORD will work for each type of data it is applied to...
  8. Neocortex too complex by cynicsreport · · Score: 2, Informative
    The neocortex is incredibly complex; not even small neuronal networks are well understood. To suggest that a computer can accurately simulate them is ridiculous.

    It behaves exactly like its biological counterpart.

    That is technically impossible, considering the behavior of the mammalian brain is not well understood at any level. Even intracellular processes are still under investigation; how synapses are regulated, interactions between neurons, and higher level functioning are still matters of great contention.
    Even if these processes were well understood, our simulation methods are not sufficient to accurately represent the massively parallel structure of a brain.
    --
    - Demosthenes
    cynicsreport.com
    1. Re:Neocortex too complex by Conspiracy_Of_Doves · · Score: 2, Interesting

      The neocortex is incredibly complex; not even small neuronal networks are well understood. To suggest that a computer can accurately simulate them is ridiculous

      That is technically impossible, considering the behavior of the mammalian brain is not well understood at any level.


      You're missing the point. The entire purpose of this project is to increase our understanding of how the brain works

    2. Re:Neocortex too complex by UncleTogie · · Score: 2, Interesting

      You're missing the point. The entire purpose of this project is to increase our understanding of how the brain works.

      I think I know what the OP is asking:

      How can we be sure we have the right answer when we don't have the reference model fixed yet? Using yet another oh-so-fun car analogy:

      Kinda hard to duplicate a car without knowing how it works. Sure, you COULD try to build a Ferrari, and sure, it COULD run on a steam engine... It might look the same, but wouldn't function similarly {speed-wise}...

      --
      Don't tell me to get a life. I'm a gamer; I have LOTS of lives!
    3. Re:Neocortex too complex by Anonymous Coward · · Score: 0

      We have decent high-level models on the functionality of neurons,at least on the single-cell level, perhaps with a single other neuron synapsing on it--the quick and dirty of it being of course once a threshold voltage is reached, a cascade of events starts which fires off an action potential (shit, I'm speaking as if I knew a damn thing about neuroscience...what have these classes done to me??). (And I didn't read enough detail, but I'm sure the model is not simulating the chemical processes but instead using behavioral models of individual neurons.) But I agree; to suggest that the model behaves exactly like the biological counterpart--fishy at best.

    4. Re:Neocortex too complex by entrigant · · Score: 1

      We have a much better understanding of the lower level mechanics than the higher level mechanics, afaik. The way I understand it is the interactions of individual atoms and molecules is well understood, but our understanding of the higher level structures they build is not as well understood. Therefore, if we can build a simulator to use our understanding of the low level processes to watch what happens when combined into the more complex form it can help devise theories on why and how the higher level forms function. Those theories can then be tested.

      I could be way off here....

    5. Re:Neocortex too complex by jd · · Score: 2, Interesting
      Even a single neuron is not well-understood. It was recently shown that neurons are not simply-connected, that a single neuron can carry complex information sufficient to describe emotional states, to definable subsets of the outputs. A typical computer simulation of a neuron generally resembles an N-input gate, where the combinations of inputs that would trigger an output could be likened to a user-definable truth table. Inputs are either there or absent, and certain combinations of input would produce an output. Multi-state inputs or outputs are done, but are less common.

      In practice, neurons seem to be a lot more complicated than that. Certainly, the inputs are variable state, the wiring is known to change over time (even in the adult brain, the wiring is dynamic), but if I'm understanding the current work correctly, then there are potentially multiple independent outputs, that triggering one output will not necessarily trigger any other output.

      Ok, you can simulate multi-state logic with binary logic - well, with enough binary logic - and you can simulate N independent outputs with N independent single-output neurons. This would mean you could simulate, say, 10,000 biological neurons with, oh, 16 independent outputs on average and where you have 16 independent inputs where each has 16 potential states, with 40,960,000 binary computer-simulated neurons. First, the current knowledge on neuron I/O probably post-dates the analysis in this study, invalidating the conclusions. Second, if it didn't and the study incorporated the knowledge, there is simply no way they could have simulated enough neurons to produce the results they claim.

      My conclusion is that the study would have to be evaluated in light of what is known now, not what was known at the time this study was conducted, by experts in neurological science and computer science, to determine if what the study is thought to show is what it actually shows. My belief is that it probably does not, but there's a reason peer review doesn't include the opinions of bloggers. Peer review is only valid when it is conducted by knowledgeable people in the field who have full access to potentially contrary knowledge and who are willing to use that knowledge to challenge and test a paper to its limits. Nonetheless, anyone can spot potential flaws.

      --
      It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
    6. Re:Neocortex too complex by simplerThanPossible · · Score: 1
      They only simulated a neocortical column (about 10,000 neurons), not the whole neocortex.

      It's also about 100 times slower than the real thing, according to TFA.

      However, it doesn't say how they know it "behaves exactly like" a real one. Logically, I'd guess they'd stimulate a real one and record its behaviour, and then stimulate the simulation, and see if its behaviour is the same. But this seems very difficult to do in practice to me (IANAN), especially obtaining accurate measurements of so many densely packed microscopic neurons. And there seems to be no mention of empirical testing on the project website.

      So, I'd guess they simulated something - but who knows exactly what that was. I'd love to be wrong about this.

    7. Re:Neocortex too complex by FluxIntegrator · · Score: 1, Funny
      I completely agree with you, but it is even worse. Neuroscience researchers are not even *close* to modeling a brain in a computer. There model of the neuron itself is fundamentally flawed. I know because, as of right now, I am fairly certain that I am the *only* person in the world that has even a *clue* how the brain works. I put two and two together a couple of months ago and had a "eureka!" moment where the actual role of neurons in the brain became clear to me. I have not shared my finding with anybody yet, nor do I plan on sharing them. Humanity is much too dangerous at this point.

      I have successfully simulated 256 neurons in the brain and the results are already extremely impressive compared with anything that exists out there. The way I was able to simulate 256 neurons without a supercomputer *in real-time* was that I have discovered the "algorithm" of the neuron. In a year or two I will be the first person to simulate the entire brain. I always thought that some guy in his basement would be the first to understand the human brain. I just never thought it would be me.

    8. Re:Neocortex too complex by jbengt · · Score: 1

      The Ferrari is the reference model

    9. Re:Neocortex too complex by jbengt · · Score: 1

      A typical computer simulation of a neuron generally resembles an N-input gate, where the combinations of inputs that would trigger an output could be likened to a user-definable truth table. Inputs are either there or absent, and certain combinations of input would produce an output.
      On the contrary, modern artificial neural nets often use not binary (on or off) but real (to the limit of computer representation) number inputs, outputs, and connections weights, that vary in time and include feedback.
    10. Re:Neocortex too complex by vertinox · · Score: 1

      The neocortex is incredibly complex; not even small neuronal networks are well understood. To suggest that a computer can accurately simulate them is ridiculous.

      Are you saying that the brain is so complex that its run by magic? Or maybe humors? Or angels pushing little buttons on mini-calculators?

      I don't know about you, but I live in a logical universe where things can be explained by physics, chemistry, biology and all sorts of things that make sense.

      A brain is made of atoms, chemicals, and biological parts so I'm pretty sure we could explain it eventually. It may take 50 more years of research, but saying its too complex to ever understand is like the Church telling Galileo there is no need to study astronomy further since we didn't need to understand it.

      --
      "I am the king of the Romans, and am superior to rules of grammar!"
      -Sigismund, Holy Roman Emperor (1368-1437)
    11. Re:Neocortex too complex by FluxIntegrator · · Score: 2, Funny

      The model is still completely wrong. Learning is not a result of a change in the synapse strength, as *every* model to date, other than mine, has *assumed*. Now, I am not sure if you keep up to date with scientific research, but this year a very important discovery was made regarding neurons. If you put two and two together you will come up with the *correct* model of the neuron. It has to do with the *phase* of neuronal spiking, rather the frequency. Each neuron actually does three things. First, it generates a permuation of the input. Second, it attempts to minimize the inter-spike timing (this is equivalent to attempting to solve a 10000 city TSP (Travelling Salesman Problem) in 10000D space). And third, it acts as a low-pass filter.

      Using this model of the neuron I have been able to simulate 256 neurons in the brain. I am currently working on a distributed model for deployment on the Internet. It is going to take around 40 million computers to simulate a human brain. At this point I am still trying to figure out how I am going to get that many people to devote computer time.

    12. Re:Neocortex too complex by MaskedSlacker · · Score: 1

      Well in my field (theoretical stellar astrophysics) that is exactly what we do. But even there we know the fundamentals much better than we know fundamentals of neuroscience and our complex models still aren't that good. But thats the whole idea behind any computer simulation, yes.

    13. Re:Neocortex too complex by RockoTDF · · Score: 1

      You are exactly right. The cellular stuff is the least complex (...for the purposes of this conversation), followed by systems, behavior, and then finally cognition. Some might put consciousness at the end of the list. This is precisely why we study rats or evolutionary ancestors (I work with fish) behavior and cellular systems, so we can discover the basic functions. Starting out with the human brain (with no comparative animal studies) is a bit like dismantling a nuclear reactor to figure out nuclear physics.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    14. Re:Neocortex too complex by RockoTDF · · Score: 1

      I follow your logic completely, but there is a difference between behavior and what is actually going on inside, because behavior is what we are observing. So while neuron x1 signaling y2 to y400 may be a computer simulation without any chemical processes whatsoever, as long as the end results are the same they can actually say that they have simulated it with 100% accuracy.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    15. Re:Neocortex too complex by Anonymous Coward · · Score: 0

      No. Simulation is achieving the same results through the same process. Achieving the same results through a different process is emulation.

  9. I know it's coming... by arotenbe · · Score: 2, Funny

    So, when do we get the inevitable joke about Linux being ported to the human brain?

    --
    Tomato wedge sperm darts that are Republican.
  10. why stop at the human brain sim? by Anonymous Coward · · Score: 1, Funny

    Why not pull together 4x more neurons and interconnections than humans have. Then maybe IBM will have... "Dave, I'm feeling much better now!"

    1. Re:why stop at the human brain sim? by Jake73 · · Score: 1

      Hm. A quad-core Jake. Sweet.

  11. cyber immortality? by DigiShaman · · Score: 1, Interesting

    Philosophy and theology aside, would it be possible to "ghost" my brain into a computer. Who wouldn't want to seek immortality even if it is artificial?

    --
    Life is not for the lazy.
    1. Re:cyber immortality? by Tablizer · · Score: 1

      Philosophy and theology aside, would it be possible to "ghost" my brain into a computer. Who wouldn't want to seek immortality even if it is artificial?

      Cryogenically freezing your brain (for future scanning) costs about $80,000 (a whole body is about double that). I wonder if there is not a cheaper way, such as formaldehyde and store it in the basement in a sealed jar. But what do such chemicals do at the cellular level? Granted, one may have to wait longer or get poorer results if they try to do it on the cheap. Plus, the great great grandkids may find the jar and play soccer with your brain.

    2. Re:cyber immortality? by mateomiguel · · Score: 1

      cuz its not you, its a copy of you which has just become your #1 most hated rival?

    3. Re:cyber immortality? by wizardforce · · Score: 1

      how about replacing individual brain cells that are dying or dead one after another until your entire brain is composed of synthetic components? your brain does it all the time only with cells that are already there, it's a very plastic organ that adapts to changing conditions and would no doubt adapt to synthetic components in a very similar way.

      --
      Sigs are too short to say anything truly profound so read the above post instead.
    4. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      You would never be able to move your consciousness from your brain to a computer. Copy it, maybe. But your mind is the result of the hardwiring of the neurons in your brain. It can not simply be moved into a different container.

      There is one way, however. If you were to permanently attach a computer to your brain, one that was designed to be a sort of 'blank slate' that your brain could start taking advantage of, and lived with it for years, probably decades. Eventually enough of your memories and personality might be contained within the computer that when the organic part died, 'you' would still live on in the artificial part which could then be installed in a robot, or attached to a virtual reality system.

    5. Re:cyber immortality? by Anonymous Coward · · Score: 0

      You would never be able to move your consciousness from your brain to a computer.

      And you know this how?

    6. Re:cyber immortality? by Anonymous Coward · · Score: 0

      What on earth are you expecting as an answer? It's clear from the article summary that we are just getting to the stage that we can partially simulate rats. Unless you think your brain is as small as a rat's, you aren't asking a practical question about what is possible today. Unless you are completely unaware of how quickly computer power grows, you aren't asking a practical question about what is possible tomorrow. And you explicitly rule out the philosophical aspects.

      So if it's not a practical or philosophical question you are asking, exactly what are you asking?

    7. Re:cyber immortality? by prod-you · · Score: 1

      This gets into some metaphysical stuff. What you could be implying is that there is no atomic consciousness that can simply be moved. Or it could mean that the consciousness is intrinsically linked to the specific body. We really aren't at the point where we can answer any of this. You could also replace consciousness with soul for added fun.

    8. Re:cyber immortality? by Anonymous Coward · · Score: 0

      But your mind is the result of the hardwiring of the neurons in your brain. It can not simply be moved into a different container.
      Explain the fact that you don't contain the same atoms as you did last year.
    9. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      I do. I don't contain the same atoms as I did ten years ago. All the atoms in your body get replaced every seven years or so.

      But to answer the point that you're getting at, it's fairly certain that no part your consciousness is dependent on anything on the atomic scale. (not talking about memory recorded as RNA) The only way replacing atoms would cause you not to be you any more is if massive amounts of them were replaced at once, such as a large percentage of the brain. That doesn't happen. Over the course of a decade, as all the atoms in your body (and hence, brain) get replaced, there is an unbroken line of continuity from one complete set of atoms to a different complete set of atoms.

      Continuity, that's the key.

      It's also the reason I would never get into a star trek-style transporter. Your body is destroyed and a copy of you comes out the other end, thinking that it's the original.

    10. Re:cyber immortality? by Troed · · Score: 2, Insightful

      Your body is destroyed and a copy of you comes out the other end, thinking that it's the original ... which makes it me, the original, for all purposes.

    11. Re:cyber immortality? by Anonymous Coward · · Score: 0

      I wouldn't.

    12. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      Except that you are dead and someone else goes on to live the rest of your life

    13. Re:cyber immortality? by RockoTDF · · Score: 1

      Unless you were actually beamed in bits and pieces across space.

      I agree with your statements about continuity. Quite interesting.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
    14. Re:cyber immortality? by Anonymous Coward · · Score: 0

      Who wouldn't want to seek immortality even if it is artificial?
      Your mom ?
    15. Re:cyber immortality? by Troed · · Score: 1

      Who is this "someone else" you think is, at all, involved in this scenario?

      It's you. Just you. No one else but you. "You" are not specific versions of specific cells at specific times.

    16. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      Same memories, same personality, separate consciousness.

    17. Re:cyber immortality? by Troed · · Score: 1

      Why do you believe consciousness is, at all, separated from the physical structure and working state of your brain? There's no actual support in science for such a view.

      Susan Blackmore's book "Consciousness: An introduction" is much recommended.

    18. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      I don't. I believe the exact opposite. Consciousness is an effect of the interactions of the neurons in your brain and is entirely inseparable from the physical brain.

      That's why I hold this position.

    19. Re:cyber immortality? by Troed · · Score: 1

      You seem utterly confused. A copy is only a copy if it's a copy. Thus, a physical copy does not "believe" it is "you" - it is you.

    20. Re:cyber immortality? by Conspiracy_Of_Doves · · Score: 1

      And in the case of the star trek style transporter, it IS a copy.

    21. Re:cyber immortality? by Troed · · Score: 1

      ... and thus it is _you_. There's no separate "consciousness" making one the "original you" and another "someone else" - as you started out by claiming.

  12. Toward a Brighter Tomorrow by Dripdry · · Score: 1

    Simulation may be one thing, but what about modeling the actual functioning? If I make, say, a computer model of snow flakes, that by no means indicates that it models the complexities of a snow storm.

    --
    -
    1. Re:Toward a Brighter Tomorrow by mrjb · · Score: 1

      Simulation may be one thing, but what about modeling the actual functioning? If I make, say, a computer model of snow flakes, that by no means indicates that it models the complexities of a snow storm.
      Likewise MAME doesn't model (all) the complexities of the actual arcade machines it emulates. But that doesn't mean it doesn't *work*. If the model is reasonably accurate, the outcome of the simulation will match the real thing.
      --
      Visit http://ringbreak.dnd.utwente.nl/~mrjb/growingbettersoftware to download your free copy of the book
  13. Hitler 2.0 by Tablizer · · Score: 3, Funny

    believes that with the state of technology today, it is possible to build an entire rat's neocortex. From there, it's cats, then monkeys and finally, a human brain."

    It would be satisfying to resurrect the consciousness of people in the past that you hate, and beat the living @&#%! out of them. The guy who invented neckties and the inventor of the QWERTY keyboard layout come to mind. Put them in Doom and blast 'em up.

    1. Re:Hitler 2.0 by Belial6 · · Score: 3, Informative

      They guy that invented QWERTY did just fine. You are probably just missing his goal. The goal was to slow down typists. With a manual hammer type typewriter, typing too fast jams the machine. You need a way to make sure that 1) the most commonly used letters are farther away from each other, thus reducing the likelihood of jamming, and 2) slow the typist down enough that each hammer has time to retract before the next one comes up and jams it.

      That necktie guy... Yeah, lets run him on Windows ME.

    2. Re:Hitler 2.0 by Tablizer · · Score: 1

      Perhaps, but I'd still like to smack him. Logic be damned.

    3. Re:Hitler 2.0 by Tablizer · · Score: 1

      By the way, I've read that the competing models of the time didn't need the slowdown mechanisms. He won primarily because his typists were better trained, not better machines.

    4. Re:Hitler 2.0 by Belial6 · · Score: 1

      A fine point sir. I am left with no argument to counter that.

    5. Re:Hitler 2.0 by Smordnys+s'regrepsA · · Score: 2, Informative

      He designed the QWERTY-layout when jamming was a problem - when the next model went into production, it was no longer a problem. The real problems were that they already had a reasonably OK model that their current clients were familiar with, and that it would take more time/money to redesign the layout when no-one (read "the investors") truly cared. Heck, people still don't care - my family/friends look at me like I'm crazy when I tell them I could remap their keys for them.

      --
      Just -1, Troll talking to another.
    6. Re:Hitler 2.0 by Tablizer · · Score: 1

      That does not seem to contradict my earlier statement. Jamming was a problem in *his* machines. The competitors didn't have the same problem such that if they won the typing speed contest, we wouldn't have qwerty. In other words, the "qwerty" layout is NOT the reason qwerty won out. He won because his typists were more skilled/experienced. QWERTY is just an accident of situation.

    7. Re:Hitler 2.0 by Tablizer · · Score: 1

      A fine point sir. I am left with no argument to counter that.

      I've found it easier to win an argument when one takes logic *out* of the requirements ... except with women :-)

    8. Re:Hitler 2.0 by mcrbids · · Score: 2, Insightful

      They guy that invented QWERTY did just fine. You are probably just missing his goal. The goal was to slow down typists. With a manual hammer type typewriter, typing too fast jams the machine. Congratulations! You've just perpetuated an urban legend.

      I strongly consider you to perform a modicum of research before you regurgitate knowledge you got at a party while partly intoxicated, and hoping to get that girl-in-the-green-dress' phone number.

      Oh wait... do you get invited to those kinds of parties? Perhaps you think digital watches are a pretty cool idea?
      --
      I have no problem with your religion until you decide it's reason to deprive others of the truth.
    9. Re:Hitler 2.0 by Belial6 · · Score: 1

      Not to rain on your parade, but not one of your links (although I didn't check out every hit on the Google search for obvious reasons) provided any evidence against the statement that the qwerty keyboard was designed to slow typists. Two only went so far as to say that it wasn't true, but didn't provide anything other than their word for us to believe it, and the third didn't even bring the subject up. It only discussed the merits of qwerty vs. Dvorak, and then mostly only through attempts to discrediting of the Dvorak studies.

      What I can show you is that while I do believe, as I said, that hammer jamming was one reason for the layout, it is unlikely to be the only factor, as anyone that was placing key jamming as the only criteria would not put the 'T' and 'H' keys anywhere near each other.

      So, Congratulations! You have just perpetuated an urban legend. (fill in your same links for for citation)

      I strongly consider you to understand a modicum of research before you regurgitate knowledge you got at a party while partly intoxicated, and hoping to get that girl-in-the-green-dress' phone number.

      Oh wait... do you get invited to those kinds of parties? Perhaps you think digital watches are a pretty cool idea?

      After all, you seem to think that "nu-uh" dispells 'legends', and that linking to pages that don't even discuss the subject supports that.

  14. Good experiment but still long way to go. by PolarBearFire · · Score: 2, Insightful

    Not to be a doubting Thomas but I think that they are underestimating the complexity of a brain. There are many different chemicals and biochemical reactions going on in the body, that science has only a vague idea of their mechanisms. Look at any drug in the market, most of them only give conjecture on why they work. My feeling is that until one day when we can create computer models that reliable predict the effects of drugs in the brain or in the body in general, these models are nowhere near what real brains are. But I would also love to be proven wrong.

    1. Re:Good experiment but still long way to go. by SilverAlicorn · · Score: 1

      This doesn't need to perfectly simulate a brain to be useful. Sure, we don't know exactly how neurochemistry works, but with a model like this, we can plug in the values we do know about, and then see where the model deviates from a real rat. This seems like a small step, but you can't expect scientists to go from a total lack of brain models to one that is completely accurate. Most scientific discovery is incremental.

    2. Re:Good experiment but still long way to go. by Anonymous Coward · · Score: 0

      from what i understand of this project there modeling this at a cellular level, which i would assume would include all the major ion channels and other big biological factors that would effect the system.

      http://bluebrain.epfl.ch/Jahia/site/bluebrain/op/edit/pid/19092

  15. This is where it starts by jmpeax · · Score: 2, Interesting

    This is where real machine intelligence will come from.

    Imagine simulating a human brain, but then incorporating an interface with software that enhances its functionality - from super-fast arithmetic to image output - the results would be incredible.

    1. Re:This is where it starts by Anonymous Coward · · Score: 0

      Problem with simulating it on a computer is that running it on a computer has the inherent flaw--everything is computer serially (well, parallel to a very limited degree.) It a real brain, in all the however many neurons we have, everything goes on at the same time, every neuron is constantly processing inputs simultaneously. We either have to get ridiculously sick processing power (brute force it), or change the way our computers work if we want to use them to model these types of processes efficiently.

  16. Homaridae by chromatic · · Score: 1

    I thought lobsters were first.

  17. Isn't it already in Linus' brain? by Anonymous Coward · · Score: 0

    nt

  18. Obligatory politican brain joke here by davidwr · · Score: 1

    Insert obligatory rat-brained politician joke here in 3...2...1...

    --
    Knowledge is how to play a game, intelligence is how to win, wisdom is knowing what game to play.
    1. Re:Obligatory politican brain joke here by hyades1 · · Score: 1

      If they manage to model a weasel's brain in a computer, I can predict the plot of the next Terminator movie. Arnold appears in California and becomes a politician. Oh, wait a minute...

      --
      I've calculated my velocity with such exquisite precision that I have no idea where I am.
  19. Subject by Legion303 · · Score: 2, Insightful

    "and finally, a human brain."

    Why stop there?

    1. Re:Subject by Anonymous Coward · · Score: 0

      I for one welcome our dolphin brained robotic overlords.

    2. Re:Subject by shbazjinkens · · Score: 1

      "and finally, a human brain." Why stop there?
      Because the next thing I know there might be a truck full of robots claiming that they need to stop my vehicle while we're both traveling well in excess of the speed limit in a poorly lit tunnel, all for my safety. Cinematic history will ensue, but at what price!?
    3. Re:Subject by Anonymous Coward · · Score: 0

      Fine, next we'll do a dolphin brain, and then an elephant's!
      Seriously, because that's seen as the end of the line as far as known intelligence goes. If you wanted to simulate anything better than that, you'd have to build it yourself, which would be a different project altogether, though it would certainly benefit from what we'd have learned by simulating known biological brains.

    4. Re:Subject by Anonymous Coward · · Score: 0

      "Why stop there?"
      Good question...Feedback the hole shit into itself and lets see whats happening.

  20. output by Anonymous Coward · · Score: 0

    and the out of all this research was...

    Wheres the cheese? Wheres the Cheese? Who cut the cheese? I wannna get me some cheese. Where did I put that cheese? Where?, where? has my cheese gone?

  21. Blue/Gene L? by BiggerIsBetter · · Score: 1

    Blue/Gene L is rated at 500 TFLOPS, which is impressive, however if you don't need double-precision to do this stuff, you can run very fast on much cheaper hardware. I was looking at Nvidia Tesla cards and boxes recently, and those are claimed to pump out 500 GFLOPS per CPU... with a 4 CPU device (1 TFLOP) taking up 1U of rackspace. I think this technology will ramp up a lot faster than people expect.

    --
    Forget thrust, drag, lift and weight. Airplanes fly because of money.
    1. Re:Blue/Gene L? by BiggerIsBetter · · Score: 1

      And yes, I know, I typoed.... 4 x 500 GFLOPS is 2 TFLOPS per 1U of rackspace.

      --
      Forget thrust, drag, lift and weight. Airplanes fly because of money.
    2. Re:Blue/Gene L? by zopf · · Score: 2, Interesting

      There are much more efficient ways to use silicon than building microprocessors... say, a 1-million-neuron mixed-mode simulator that can be chained to take real-time input from an artificial retina or other neural input. From the site: "When it is completed in 2008, Neurogrid will emulate a million neurons in the cortex in real-time, rivaling the performance of two-hundred Blue Gene racks - at under a thousandth the cost."

      Couple that cost reduction with power consumption orders of magnitude lower than other solutions, and you've got some serious potential.

      --
      Did you see the pool? They flipped the bitch!
    3. Re:Blue/Gene L? by BiggerIsBetter · · Score: 1

      Crikey. That is very cool.

      --
      Forget thrust, drag, lift and weight. Airplanes fly because of money.
    4. Re:Blue/Gene L? by Anonymous Coward · · Score: 0

      The "S" in TFLOPS is not plural, it stands for "second". "One TFLOP" would mean "one trillion floating-point operations per".

  22. Social security for sentient entities by Plazmid · · Score: 1

    If we ever learn how to build a consciousness in a computer, will we grant it the ability to receive social security payments? If we ever find a way to put a human consciousness computer, will the consciousness be liable for health benefits? If it receives health benefits will it receive less because it takes less maintenance? If so, will health care companies to start prod people into "cyberizing" because it costs less?

  23. The Intelligence Game by MOBE2001 · · Score: 3, Insightful
    From the article:

    Markram is banking on Moore's law holding steady, as a computer with the power of the human brain, using today's technology, would take up several football pitches and run up an electricity bill of $3bn a year. But by the time Markram gets around to mimicking a full human brain, computing will have moved on.

    It's amazing how some people want the computing resources to simulate a rat's brain but still can't simulate a honeybee's brain and the resultant behavioral complexity. After all, a bee's brain has only about a million neurons. It could probably be done on a desktop machine and yet, a bee's behavior is amazingly sophisticated. Is it me or does it seem that some people have no clue as to what constitutes intelligence and would rather spend the taxpayer's money on what can only be qualified as useless goals?

    Would it not be much better to implement a downsized version of the human brain (with all the various cortices) and see if it can learn and adapt to the environment? But then again, that would be too much to ask since Markram et al don't have an overall theory of brain operation. It's better to keep your sights as high as possible and have an excuse as to why your artificial brain or cortical column is no more intelligent than a flea: you always need faster and more expensive computers. And more funding. Yeah.
    1. Re:The Intelligence Game by ywl · · Score: 2, Insightful

      Research is indeed a funding game but there is no need to be so cynical...

      First, we know more about mammalian brains and neurons than the honey-bee ones. The research in the last half century was mostly centered around the mammalian systems. Unless the governments are willing to fund projects on insects, or some wealthy philantropist is willing to take up the bills, expect similar things for the near future.

      Second, the structure and organization of the cortex is quite similar across the whole brain and mammals. As the cortex (or more exactly, neocortex) is general regarded where most important cognitive processes occur, if you want to have some insight on a general computation network/machine, it's a reasonable place to start.

      Third, it's probably easier to simulate the neocortex than the brain of honey bees, since as I said, we know more about mammals. Moreover, a lot of the structures and organization are quite regular in a cortical column, therefore, you'll have a better chance of guessing the missing information correctly.

      Finally, don't be silly, a desktop won't make it. If you want a realistically simulation, you'll first need to have a good idea of the geometrical shapes of all the neurons and their projections, then a reasonable guess of the strength and locations of their synaptic contacts. You'll also need to have a good estimation of the channel density and distribution of the ionic channels. then the non-linear differential equations that govern their behaviors. Most of these numbers are not even measurable with current experimental technologies. I think these groups use some mathematical tricks to estimate these numbers ... which is at least plausible for rat or mouse brain.

      People have been dreaming of an abstract, reduced and simplified theory of the human brain since the study of the nervous system started. Nobody has quite managed yet... why don't you try? :)

    2. Re:The Intelligence Game by Breakfast+Pants · · Score: 1

      Thanks armchair science policy guru. If you think that you can simulate a million neurons on a desktop, you are vastly ignorant of the computational complexity involved. But I'm sure you know more than these researchers and we should put you in charge of funding.

      --

      --

      WHO ATE MY BREAKFAST PANTS?
    3. Re:The Intelligence Game by MOBE2001 · · Score: 2, Interesting

      People have been dreaming of an abstract, reduced and simplified theory of the human brain since the study of the nervous system started. Nobody has quite managed yet... why don't you try? :)

      I am and I have. I have been working on just such a project for years on my own time and my own dime. Trying to use computers to simulate neurons in all their biological glory is a pipe dream. We know how several types of neurons work on a higher and simpler level: they send and receive spikes via synapses. That's the only level that needs to be simulated to achieve intelligence. The brain is a discrete temporal mechanism that uses multiple integrated networks to learn and adapt. I'm sure Markram et al are aware of this but being biologists, they can't seem to move beyond the low-level complexities.

      What we need first is an overall theory to play with, not supercomputers. Once we have a theory in place, we'll have a model to experiment with (even on a small scale), something that can evolve over time. It does not have to do much (learning to walk and navigate from scratch would do fine), as long as it it can learn and adapt and it is provably scalable. If you can show that, governments and corporations will step all over themselves to give you a parallel computer as big as the island of Manhattan, if necessary.

    4. Re:The Intelligence Game by FluxIntegrator · · Score: 0, Troll

      I am also working on a model of the human brain. And, not to discourage you, but you, and every other researcher in the world, are *way* off. I, however, should have a fully functioning model of the human brain within 2 years . The problem with your model, and every other model in existence today, other than mine, is that your model of the neuron is completely wrong. However, I'll give you some credit. Spiking neural networks come closer than many models, but you still do not have the most important element. The amount of computational power needed is on the order of 80 PFLOPS (that is not a typo, that *PetaFLOPS*). That is the computational power of one human brain. And that *may* be an underestimate due to some rather technical issues (you would have to understand my model of the neuron). It is *very* likely that within a couple years researchers will have discovered this model (because it is based on recent research that was done this year). By that time, I will have simulated the entire human brain.

    5. Re:The Intelligence Game by Mr.+Mikey · · Score: 1

      Yeah!

      It's not as if simulations of rat brains (or cortical columns) will advance our understanding of how brains work, and help us work towards a theory of intelligence...

      Oh, wait...

      It makes no good sense, IMO, to think that a "downsized" (just which components would you omit or simplify, and, if the latter, just how does one go about finding a simplified structure that retains the characteristics one is interested in in the first place?) human brain makes a better starting point than a rat neocortical column.

      --
      wants to be the first monkey to touch the monolith
    6. Re:The Intelligence Game by master_p · · Score: 1

      Is there anything more in this 'theory' than pattern matching for satisfying a goal?

      AI is not about computations and computability. The brain does not compute, it matches.

    7. Re:The Intelligence Game by smaddox · · Score: 1

      Thats not entirely true. The brain performs a mix of the two, and possibly other strategies for problem solving.

      Read some books about autism and calculating savants if you want to learn more about the computational side of the brain.

    8. Re:The Intelligence Game by stonecypher · · Score: 2, Insightful

      After all, a bee's brain has only about a million neurons. It could probably be done on a desktop machine

      You have a fantastically broken sense of scale. The important bit isn't the neuron count; it's the interconnect count. In the sub-oesophageal ganglia alone you're looking at billions of interconnects. If you think that would run on a desktop machine, especially after you just (failed to) read the document explaining how much horsepower it took to deal with a rat's neocortex, then I have a bridge to sell you.

      Maybe you should wait until you've actually tried this stuff before you start preaching about what can or cannot be done on a PC.

      a bee's behavior is amazingly sophisticated.

      No, it isn't. A swarm's behavior is relatively easily described as the emergent properties of about two dozen behavioral rules. Consider taking a time machine back to the mid 1980s, when we started figuring this stuff out, so that you won't be so far behind when you begin the necessary process of playing catch-up.

      Is it me or does it seem that some people have no clue as to what constitutes intelligence

      Both.

      and would rather spend the taxpayer's money on what can only be qualified as useless goals?

      Just because you don't understand it doesn't mean it's useless. The implications of a testable simulation of a biological brain are startling. Besides, the EPFL is a private institute (not everything with "federal" in the name is governmental,) and the vast bulk of this research was paid for by IBM.

      Would it not be much better to implement a downsized version of the human brain (with all the various cortices) and see if it can learn and adapt to the environment?

      Yeah, because if we've just now for the first time managed to simulate something that constitutes about half of one percent of a rat's brain, then surely we're in a position to implement a scaled-down human brain. Oh, and by the way, if it's scaled down, its results wouldn't be useless, or anything. Oh, and we all know how to scale a human brain down: it's in every textbook on "fantasy science for people with no ability to think through what they're saying," which they teach at the Zsa-zsa Gabor School of Diesel Mechanics.

      In the meantime, we now have confirmation that our understanding of the basic principles of rat cerebral biology is complete enough that we can accurately simulate a significant and complex chunk of its brain in pure mathematics. I can't imagine how even a layman would be so dense as to think that useless. Maybe we should simulate you; lord knows we have the computing power for it.

      But then again, that would be too much to ask since Markram et al don't have an overall theory of brain operation.

      Wait, let me get this straight. Something you suggest is too much to ask because other people don't know how to do it? Did it occur to you to just not say it, then? Or were you too busy feigning familiarity with something you know not even the most fundamental basic principles of? You suggested something so startlingly vague that I can't even begin to imagine what precisely you mean, and now you want it to be these other, actual productive scientist's faults that your fantasy doesn't make any sense?

      What exactly would you suggest is the nature of a "scaled down human brain" ? Be precise.

      It's better to keep your sights as high as possible and have an excuse as to why your artificial brain or cortical column is no more intelligent than a flea

      Yes, because simulating half a percent of a rat brain is a much loftier and more vapid goal than some arbitrary reduction of the human brain, cough. By the by, if you had actually read anything about the research, you wouldn't be making comparisons to fleas, since the simulated rat brain is actually quite capable. But, don't let knowledge or famili

      --
      StoneCypher is Full of BS
    9. Re:The Intelligence Game by stonecypher · · Score: 2, Insightful

      People have been dreaming of an abstract, reduced and simplified theory of the human brain since the study of the nervous system started. Nobody has quite managed yet... why don't you try? :)

      I am and I have.

      Bullshit. An abstract computer chess simulation routed through the physical world mimics a reduced human brain in the same way that playing with legos is a reduced version of engineering a skyscraper. You've managed to fill a webpage with a bunch of blathersceit and big words. Way to go, jack. In the meantime, all you've really got is an Armitron driver. Why chess is even on that page is something of a mystery, since your software doesn't know how to play chess - it can't even make legal moves in any more significant frequency than dice.

      Trying to use computers to simulate neurons in all their biological glory is a pipe dream.

      Yes yes, clueless amateurs have been saying this for decades. Go sit at the back of the class with Minsky where you belong - you're replying to an article where something has been done by saying "this is a pipe dream and cannot be done." I'm reminded of the story of the Kitty Hawk newspaper reporter who was thrown into jail for fraud, claiming that a heavier than air machine had flown; when shown photographs, the police officer who'd made the arrest calmly remarked that they were obvious fakes, and that science forbode such a thing from happening.

      Well, sir, all I can say is that I'm glad your kind aren't cops anymore.

      We know how several types of neurons work on a higher and simpler level: they send and receive spikes via synapses.

      That's one of more than a dozen known mechanisms, actually. There are several involved mechanisms with electricity alone - pulse amplitude, duration and frequency are all involved in the electrical system, and that's before you get into what the chemicals around them are doing. Chemicals are involved in the system too. Or did you think that cocaine was just a bunch of tiny batteries?

      That's the only level that needs to be simulated to achieve intelligence

      This is demonstrably false. Several classes of injury and disease that rob a previously functioning brain of its ability to think have literally nothing to do with its electrical system, something you'd know if you weren't a talentless hack also ran with neither education in the matter nor any form of degree. Go find out what happens in a mye

      The brain is a discrete temporal mechanism

      The brain isn't discrete, as the various parts of the brain operate distinctly from one another, at different speeds, using different mechanisms. The brain isn't a temporal mechanism, something which anyone with multiple sclerosis knows in a deeply tragic way. The brain is not, in fact, even a mechanism, since a mechanism has a definite design, and brains are grown (and differently, to boot.) People's brains are actually shaped differently, have different sized bits and pieces. Lots of the brain is specific purpose, but lots of it is general purpose, and the way that people handle many fundamental tasks is quite significantly different from individual to individual. Hell, not even all of us end up with cognition in the same lobe of the brain - that bit about "left brained" and "right brained" was based on actual science, something none of what you've said seems to be. If the brain was a mechanism, we'd all be working the same way.

      So, not discrete, not temporal, and not a mechanism. I smell failure, and its name is MOBE2001.

      discrete temporal mechanism that uses multiple integrated networks

      Wait, it's discrete and it uses integrated clusters? Just what do you think discrete means?

      I'm sure Markram et al are aware of this but being biologists, they can't seem to move beyond the low-level complexities.

      --
      StoneCypher is Full of BS
    10. Re:The Intelligence Game by Alsee · · Score: 2, Informative

      What we need first is an overall theory to play with

      For those interested, I just wanted to let people know MOBE2001's brain theories and expertise are based on his work decoding secret messages hidden in the bible. Secret coded messages rewriting the laws of physics too.

      Interestingly, MOBE2001 makes a number of scientific testable predictions based on his bible code theories, predictions which may some day be either confirmed or refuted. So those interested in secret science messages coded in the bible can follow this work and the eventual success/failure of these predictions, and those who are not-so-interested in secret science messages coded in the bible can not-follow this work for the duration of eagerly anticipating the arrival of ground breaking scientific news coverage of confirmed predictions.

      -

      --
      - - You can't take something off the Internet! That's like trying to take pee out of a swimming pool.
    11. Re:The Intelligence Game by MOBE2001 · · Score: 1

      Interestingly, MOBE2001 makes a number of scientific testable predictions based on his bible code theories, predictions which may some day be either confirmed or refuted.

      Well, thanks for pointing this out. I make no apologies to anybody about my work. If my religious convictions bother you, just ignore it, that's all. In particular, I make a scientific prediction about the human cerebellum that should be very easy to falsify, if you're a neurobiologist. In addition, I suggest a simple experiment at the bottom of the page that almost anybody can perform. Check it out.

    12. Re:The Intelligence Game by aminorex · · Score: 1

      You say that they "can't" as though they should. That's like saying that physicists can't get past physics. The fact that their project and yours are different is no criticism of their project.

      --
      -I like my women like I like my tea: green-
    13. Re:The Intelligence Game by master_p · · Score: 1

      Numerical computations can be done with pattern matching as well.

    14. Re:The Intelligence Game by CFTM · · Score: 1
      Uh haven't you ever heard that old saying that if you were to put enough monkey's in to a room on type writers that EVENTUALLY they would produce the entire works of Bill Shakespeare?

      If you put enough symbols of any kind together, and you look at them long enough, you will find patterns that are the result of randomness not some deeper message. So yeah, you're bible code theories make you look and sound like a hack...

      I mean, isn't that the entire basis for the various mythologies of the world? Ancient cultures observed phenomena that they believed had a priori correlation and created a framework to explain the world. It's a fundamental aspect of our nature as seen by its recurrence throughout human cultures.

      So really, all you're doing, is taking codified text and creating new meaning in its vastness. What I mean by codified text is the works of the New Testament, and revelations in particular, are considered by many scholars as being coded depictions of life under Graeco-Roman rule.

      The historical-critical approach, which became dominant among scholars of religion since the end of the 18th century, attempts to understand Revelation in it's first century historical context within the genre of Jewish and Christian apocalyptic literature. This approach takes the address to seven historical communities in Asia Minor and assertions that "the time is near" literally - unlike historicist or futurist approaches. Consequently the work is viewed as a warning not to conform to surrounding Greco-Roman society which John "unveils" as beastly, demonic, and subject to divine judgment. There is further information on these topics in the entries on higher criticism and apocalyptic literature. Ref.

      Granted there are other interpretations but my experience from sitting in class rooms with Jesuit Brothers who have devoted their entire life to the study of the New Testament is that they tend to teach this view point. So in other words, it's not your religious convictions that I take umbrage with but rather where and how you attempt to glean pertinent information about the knowable world.

      The bibles salvation does not lie in coded messages; it lies in the underlying message of love thy neighbor and do unto others as you'd have them do unto you.
  24. And after humans.... by mindwhip · · Score: 2, Funny

    Dolphins?

    --
    [The Universe] has gone offline.
  25. Harry? by Anonymous Coward · · Score: 0

    Stainless Steel Rats

  26. Shooting for the stars. by Hamster+Lover · · Score: 2, Insightful

    Wow, these scientists really were shooting for the stars. Why not start small, like say the brain of a GOP presidential candidate or that of a Britney Spears fan?

    1. Re:Shooting for the stars. by sphazell · · Score: 1

      Or an Apple Iphone Fanboys (that was the greatest day of me life) brain.

    2. Re:Shooting for the stars. by Alsee · · Score: 1

      Oh come on.... even wearing lab gloves would YOU be willing to handle either of those test subjects?

      -

      --
      - - You can't take something off the Internet! That's like trying to take pee out of a swimming pool.
  27. Understanding modeling and simulation. by Anonymous Coward · · Score: 0

    "Kinda hard to duplicate a car without knowing how it works."

    You don't know anything abut what simulation is for if you make such a statement.

    Simulation is the mainstay of both many branches of science (as the article states, not so much in biology... yet) and engineering.
    It works like this:

    1. Find a way to mathematically describe individual _parts_ of the behavior of _parts_ at a certain level of abstraction.
    2. Using this mathematical model, create what is called a behavioral simulation model. This is the math implemented as a program.
    3. Apply some recorded stimulus to this model (program) and see if the results are accurate at the level of abstraction desired.
    4. Go back to step 1 until the simulation error is acceptable
    5. Combine instances of the model and other models. The results will help you understand what is happening and make predictions...
    6. - Now the part you didn't understand - you use those predictions and test their accuracy at a _different_ level of abstraction (a higher one).

    This way, you build a simulation of the larger picture. Get it? At this point, individual neurons have been simulated (proven). Synapses
    also. Now, this new model simulates, as I understand it, the rules for combining these blocks together. That's way it talks about
    finding and optimizing the connections of the synapses and neurons.

    I suspect it's likely accurate, but more importantly I expect it will make testable predictions and so it's not just "It's accurate, look
    at the pretty pictures!".

    1. Re:Understanding modeling and simulation. by UncleTogie · · Score: 1

      At this point, individual neurons have been simulated (proven).

      "Simulated" !== "proven". Care to differ? Fine. Can you provide a link to show the research on DAMAGED neural tissue? Say, for example, what they believe happens with metachromatic leukodystrophy? Just HOW that synaptic cross-firing works? I say a simulation model is inaccurate if it doesn't account for all possible factors. The work so far is laying a base framework, yes, but we're still so far from understanding the human CNS it's not even funny.

      --
      Don't tell me to get a life. I'm a gamer; I have LOTS of lives!
  28. Two lanes or four? by rice_burners_suck · · Score: 1

    Here's the trouble with experiments like this. God obfuscated the machine code of the human brain to such an extent that we'll never figure it out. Oh wait, that only applies to womens' brains.

  29. Comment removed by account_deleted · · Score: 1

    Comment removed based on user account deletion

  30. Yeah, but ... by MPAB · · Score: 1

    ... will it run Linux?

  31. Free Will by Morromist · · Score: 2, Interesting


    This could turn out to be a way to figure out some of the great blockbuster philosophical problems that puzzle and infuriate anybody who has not read Oolon Colluphid.


    If the scientists built an entire human brain they will presumably fail to install such things as Free Will - A concept which philosophers still argue is logically possible.
    Will this prove that Free Will does not exist?
    Or will it simply be impossible to detect?


    For a sort of example of this remember William Gibson's consideration of this in his book "Neuromancer".
    In that passage the mind of the hacker Case has been trapped inside a massive artificial intelligence where he improbably finds his lost girlfriend and a young boy, the manifestation of the AI known as Neuromancer on a beach.


    "And here things could be counted, each one. He knew the
    number of grains of sand in the construct of the beach (a number
    coded in a mathematical system that existed nowhere outside
    the mind that was Neuromancer). He knew the number of
    yellow food packets in the canisters in the bunker (four hundred
    and seven). He knew the number of brass teeth in the left half
    of the open zipper of the salt-crusted leather jacket that Linda
    Lee wore as she trudged along the sunset beach, swinging a
    stick of driftwood in her hand (two hundred and two).
    He banked Kuang above the beach and swung the program
    in a wide circle, seeing the black shark thing through her eyes,
    a silent ghost hungry against the banks of lowering cloud. She
    cringed, dropping her stick, and ran. He knew the rate of her
    pulse, the length of her stride in measurements that would have
    satisfied the most exacting standards of geophysics.


    "But you do not know her thoughts," the boy said, beside
    him now in the shark thing's heart. "I do not know her thoughts.
    You were wrong, Case. To live here is to live. There is no
    difference."
    Linda in her panic, plunging blind through the surf.
    "Stop her," he said, "she'll hurt herself."
    "I can't stop her," the boy said, his gray eyes mild and
    beautiful."

    1. Re:Free Will by RockoTDF · · Score: 1

      Free will probably doesn't exist. The brain is like a very complex computer, and we like to think that we are special and think for ourselves. Not really. There is no neuron or area of the brain that is "you." If you look at people with split brains, it is clear that the two halves of their brain think and behave differently. This leads me (and others) to believe that there cannot be free will, but only the illusion thereof.

      --
      There is more to science than physics!

      www.iomalfunction.blogspot.com
  32. Can you imagine? by Anonymous Coward · · Score: 0

    Can you imagine shoving a Beowulf Cluster of these up your ass?

  33. Further effort by NightFears · · Score: 1

    "Project director Henry Markram believes that with the state of technology today, it is possible to build an entire rat's neocortex. From there, it's cats, then monkeys and finally, a human brain."

    Why stop there? I wonder, when will they have any success simulating a part of God's brain.

  34. Plausibility of AI by yters · · Score: 1

    I have questions regarding the theoretical possibility of AI. I've asked at proggit, but haven't received good answers yet (see here for my discussion, search for yters), so I figured I'd try here.

    1. Given that the CS consensus seems to be strong AI can't be algorithmic, how does modeling brain functions get around this? Plus, what is a non algorithmic method of automation? Isn't automation by definition algorithmic?

    2. Strong AI seems to result in cognitive dissonance. Say consciousness is a necessity for intelligence. Say strong AI implies certain information is identical to a specific consciousness. This means the same consciousness can have multiple, discontinuous, temporally synonymous instantiations. This is a logical contradiction per the nature of consciousness (I'll elaborate once someone bites).

    Sure, some may say: A) The mind comes from matter. B) Material behavior is necessarily algorithmic, whether deterministic or non deterministic. Therefore, C) intelligence, and consequently strong AI, is necessarily algorithmic. But, that line of argumentation just begs the question. There are no logically necessary grounds that the current scientific materialistic presuppositions are true, so they can't be appealed to in this case. In fact, if my above arguments hold, then the current notion of scientific materialism is false.

    And please, if you feel the need to quibble over semantics, don't bother. I'll only reply to people who take my points at face value, or actually need clarification.

    1. Re:Plausibility of AI by balloonhead · · Score: 1

      I think it can be algorithmic, just that the algorithms are so massively complex that they seem not to be algorithmic. The current state of AI is so basic compared to the human brain that the two can even be usefully compared.

      The human brain is, at its most basic level, just a big bunch of interconnected voltage gates which can be either on or off. The complexities are:
        - enormous number of neurones
        - much more enormous number of interconnections, which can change. Repetitive use of some paths strengthens them, disuse weakens them.
        - enormous number of inputs
        - complex pathways
        - groups of regularly discharging neurones
        - feedback loops of various types
        - large number of neurotransmitters with different properties.

      Each neurone will 'fire' when it is stimulated to reach a certain voltage threshold (which may vary depending on the type of neurone). This will cause it to propagate an impulse which will ultimately lead to release of chemicals at its connections. It may release more then one chemical, from many locations. The chemical may or may not act in part on itself. It will have a period of latency after firing when it can not fire again. This will vary between groups of neurones. The likelihood of an impulse being fired depends on:
        - amount of stimulation that particular neurone needs to fire
        - amount of stimulus applied (remember the vast number of interconnections?)
        - whether the stimulus applied is excitatory or inhibitory - some connections will be one, some the other. Some may be both (see below - e.g. a short acting chemical which tends to excite the next neurone and a longer acting mild inhibition acting as a modulator for further subsequent signals.)
        - the nature of the inhibition or excitation (it can be vary in its amount and duration)
        - the nature of other inhibitory or excitatory chemicals (hormones, drugs, other chemicals which may be released in a very small area, in the region of a group of neurones, or affecting the whole brain)
        - variation between individuals - anatomical and minor changes in proteins which might make, for example, certain chemical reactions happen differently (like a neurotransmitter producing enzyme which is a little more efficient in one person causing higher amounts to be released)

      There's plenty more too - and a lot we haven't yet discovered.

      If we can map all these, then we could probably replicate the brain. We don't understand what consciousness is in humans, really. We could probably just ask the artificial brain what it thinks. Its answer may tell you whether it has consciousness or not. If it doesn't, then I would say that it's not an exact replica - we've missed something.

      I'm not sure if that really answered your question - it's a bit of a big topic.

      --
      This idea was invented by Shampoo.
    2. Re:Plausibility of AI by yters · · Score: 1

      Thank you, that's a helpful overview of how brains work, something I haven't research much myself.

      Anyways, given the presupposition of materialism in your post, I guess you consider my question and arguments loony anyways. If you could explain this too, it'd be helpful. I don't understand why people with a scientific background seem to assume all non strictly materialistic positions are prima facie incoherent.

      For the vast majority of intellectual history the exact opposite position has been held: that reality is essentially not physical (i.e. merely matter and energy). Plus, since modern science just flat out ignores any non naturalistic explanations for phenomena, strict materialism hasn't been "proven" as far as I know. I don't understand what it is that has so convinced modern science strict materialism is the only game in town.

    3. Re:Plausibility of AI by hamoe · · Score: 1

      1) You don't see a reason to go with the consensus on materialism and determinism, but your first point assumes the "consensus" on strong AI being non-algorithmic is relevant. I'll go with Jeff Hawkins on this one and just say there is no clear consensus, and strong AI can be algorithmic. 2) Cognitive dissonance is emotional - it is uncomfortable to hold two contradictory ideas in your head. The project mentioned in this article seeks to replicate the functions of the neocortex, or the new brain. The limbic system is part of the old brain, which is arguably not part of strong AI, and handles emotion. It can also be argued that willingness to engage in cognitive dissonance is a mark of intelligence, because in order for your beliefs and ideas to evolve you must compare new ones with old ones, by holding both contradictory view points at once, and making a rationally justifiable decision to go with one idea over the other. You say that cognitive dissonance is a logical contradiction, but I say that people experience it for varying amounts of time and to varying degrees, and if it does exist I fail to see how it is a "logical contradiction of consciousness".

    4. Re:Plausibility of AI by balloonhead · · Score: 1

      I don't consider your arguments loony because
        - the brain is so complex that, to most intents and purposes, what it does is magic
        - science can't yet explain most of it
        - a non scientific (whether philosophical or theological) explanation for some or all of it is much easier (despite still being complex) than filling in the scientific gaps

      Due to my scientific background, I think it is just a big, complicated but ultimately explainable thing. Scientists of whatever flavour often do - there are a lot of complicated things which have been adequately explained which 100 years ago were due to magic so it's not a big leap to assume that everything follows physics and chemistry and those that don't are accounted for by gaps in our knowledge rather than something else being at play.

      The things which aren't explained well at the moment (disclaimer - I am not a neuroscientist so someone else might have more to say on the subject) are essentially that there is no explanation for *producing* impulses spontaneously (and ultimately, spontaneous thought). All the neurones, individually, can either discharge in response to the summation of incoming signals, or have an inherent instability that makes them discharge spontaneously rhythmically, with stimuli either increasing or decreasing the rate of discharges. You can't just make a neurone discharge without those. They rely on ion channels which are chemical or voltage gated - and you can't just will them open or closed. They respond to circulating chemicals or local charge. So what is it that makes us able to generate impulses (i.e. thoughts, which ultimately end up staying internalised or being propagated into muscle contraction through a variety of steps)? When you are sitting on the couch, what makes the thought, 'I'm going to get up and get a beer from the fridge', appear?

      I expect the answer is just due to complicated, reverbating electrical circuits modulated by learned or innate behaviour similarly reverbating pathways, all having been formed in response to fairly primal reward or punishment based stimuli. But trying to explain the logistics of such a system is, to me, currently unfeasible. If there is a place at which some 'non-scientific' process (e.g. a soul) may act, think I think it is here.

      --
      This idea was invented by Shampoo.
    5. Re:Plausibility of AI by yters · · Score: 1

      Ah, well, my argument is somewhere in between logical contradiction and cognitive dissonance. Basically, I am limited by my imagination; I can't think of any way for there to be multiple, independent instantiations of one person's consciousness without violating the very concept of consciousness. So sure, I am not justified in dismissing AI out of hand, but the thought experiment is evidence against AI in my book. Quantum physics presents an analogous situation. There is another explanation of the slits experiment that is in line with Newtonian physics, but physicists think the current theory is more elegant.

      Anyways, if you have a good counter to my thought experiment, I'd be interested in hearing it.

      As for the first issue, I go with strong AI not being algorithmic due to mainly to Godel's incompleteness theorem and the lack of any significant progress in strong AI since its inception. As for materialism, it seems to just be a prejudice of the scientific establishment, without any strong proof that I know of. Strong AI seems to be one of the lynchpins of materialism; if materialism can't adequately account for human intelligence, then materialism is a very weak theory.

      Of course, there are many other factors that influence my view on AI, such as its theological and moral implications, and how I see my mind working compared with how a computer works. They weight my preference when the possibility of strong AI is an open question, but are less important to me than strong logical or empirical evidence to the contrary.

    6. Re:Plausibility of AI by yters · · Score: 1

      I wouldn't make the jump from an entity not being physical to an entity being "magical," since the connotations of magical mean the entity defies rational explanation. For example, there seem to be strong accounts of people really having out of body experiences: they learn information they couldn't have known beforehand or learned any other plausible way. There also seem to be rigorously documented miracles.

      I would say these occurrences fall in the domain of science, since modern science, most generally, deals with truth we can verify empirically. Sure, miracles and out of body experiences may not fit our current 'scientific method,' since they generally aren't easily repeatable, but that doesn't mean they aren't strongly empirically verified.

  35. Queue Pinky and the Brain jokes here by roguegramma · · Score: 1

    Are you pondering what I am pondering, simulated Brain?

    --
    Hey don't blame me, IANAB
  36. OMG no pinky jokes? by Gigaflynn · · Score: 0
    people! haven't you forgotten something?

    where are the "Pinky and the Brain" jokes?

    come on!

    --
    "Neo, follow the white rabbit"
    "Can i eat the white rabbit?"
    "No, there is no spoon to eat it with"
  37. Re:Wrong model for neuron by FluxIntegrator · · Score: 1

    You are absolutely right. The problem is that nobody, other than me, has figured out the correct model for the neuron. It is rather sad when a guy in his basement can out think the entire scientific community. However, history has teaches us this usually the case. It does not take a lot of smarts, it takes a *passion* to understand.

  38. Singularity by Anonymous Coward · · Score: 0

    Because after that the artificial brain could do the work for us.

  39. The footprints of God by the_Bionic_lemming · · Score: 1

    I just finished a book that gave a pretty believable explanation about the advancement to the point where a Human consciousness is dumped into a computer. It's called "The Footprints of God" by Greg Iles.

    It's not a preachy book - so don't let the title stop you, but it did point out a few subtle points about a thought process accelerated, and the implications beyond that.

    --
    _ _ _ Go for the eyes Boo! GO FOR THE EYES!
  40. Re:Neuron model is wrong by FluxIntegrator · · Score: 0, Redundant

    Our model of the neuron fundamentally flawed. The synapses are *not* what allows learning to occur in the brain. I have developed a model of the neuron, which I have not shared with anybody yet, which essentially rewrites the book on what we know about neurons. In fact, when you sit down to think about the problem, there exist several obvious reasons that our model of the neuron *must* be incorrect. However, it would take an engineer, or somebody familiar with control theory, to see why.

    Our model of the neuron is fundamentally flawed, but oddly, no matter how hard you observe a neuron you would never know it because the model is flawed on a time scale researchers have not studied yet.

  41. almost exactly like a rat... by 192939495969798999 · · Score: 1

    ...except that it's not connected to a rat. Now if they could power a real rat with this thing, then you'd really have something.

    --
    stuff |
  42. Is there an expert in the house? by superwiz · · Score: 1

    Can someone actually verify their "exactly" claim? Doesn't a large part of communication mechanisms in the brain occur through chemical channels? Are they simulating that as well as the electrical network itself?

    --
    Any guest worker system is indistinguishable from indentured servitude.
  43. Re:Not a joke by FluxIntegrator · · Score: 0, Redundant

    Apparently somebody modded me funny. It is not a joke.

  44. Re:Not a joke by FluxIntegrator · · Score: 0, Redundant

    Apparently somebody modded me funny. My post was not a joke.

  45. Permutation City and the ethics of simulation by argent · · Score: 1

    This is like the early stages of the back-story for Permutation City by Greg Egan.

    The ethics of simulation are kind of sidestepped in Permutation City, though the experience of the first self-aware "copy" of a person does seem to be a bit of a cautionary tale, and his later stories do get into the question of whether it's ethical to make copies at all, and what it's ethical to do with them.

    This is of course a long way from Permutation City style "Copy", but I think it's not to early to open the whole issue to debate.

  46. Beg the question by Wolfier · · Score: 1

    Do you mean "poses the question"?

    http://en.wikipedia.org/wiki/Begging_the_question

    1. Re:Beg the question by yters · · Score: 1

      No, I used the phrase correctly. I'm saying that particular argument is circular.

  47. Re:Not a joke by RockoTDF · · Score: 1

    Really? Because everyone on here thinks that you are a huge joke. If you have such a wonderful idea of what a neuron does, validate it, share it, or get some professional help.

    --
    There is more to science than physics!

    www.iomalfunction.blogspot.com
  48. Re:Your loss, not mine by RockoTDF · · Score: 1

    generally I avoid being the arrogant poster. But you are acting as if we are not worthy to hear your theory, so please share it with us and/or the world. Otherwise you are just another Internet crazy person that gives actual researchers a bad name.

    --
    There is more to science than physics!

    www.iomalfunction.blogspot.com