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Effort to Create Virtual Brain Begins

bryan8m writes "An IBM supercomputer running on 22.8 teraflops of processing power will be involved in an effort to create the first computer simulation of the entire human brain. From the article: 'The hope is that the virtual brain will help shed light on some aspects of human cognition, such as perception, memory and perhaps even consciousness.' It should also help us understand brain malfunctions and 'observe the electrical code our brains use to represent the world.'"

19 of 454 comments (clear)

  1. Structure and Function by racecarj · · Score: 5, Interesting

    What's interesting about this type of study is the possible philosophical arguments that come up...

    Our brains are made of mostly water, carbon, etc.... which form neurons. This is only important in the sense that we are what we are because these neurons are able to take a set structure, where neurons interconnect, and then have a specific function, where they fire.

    There's nothing magical about these neurons. Let's say that you could replace these neurons with say, ultra-small marbles, that could take the same structure and perform the same function... It is logical to think that this marble-brain would be an actual brain, the same as any other. It would be a person.

    So if they're simulating a brain virtually, but this virtual construct simulates the structure and function correctly, would this virtual brain be aware? Would it be a "person"? I personally, would say that it would. But then, is it moral to ever shut such a simulation off (murder)? Or create it in a virtual world without any other virtual brains to talk to (torture)? Or create it at all for the use of an experiment?

    1. Re:Structure and Function by venicebeach · · Score: 2, Interesting

      This view is called functionalism.

      But in regards to this simulation, it is not being built to do the things that a human brain does. That is, as far as I can tell from the article, it does not have any perceptual, motor, or cognitive functions, it is simply an isolated circuit designed to understand how assemblies of neurons work together.

      A growing movement in cognitive neuroscience stresses an understanding of the mind as an "embodied". That is, much of our cognition relies upon and draws from the physical body - its context. For example, in order to understand other people's movements we map them onto our own motor representations. Almost every cognitive function is grounded in some kind of physicality. It may be impossible to create a conscious "brain in a vat"....

    2. Re:Structure and Function by rsynnott · · Score: 2, Interesting

      IF it was anything close to a human brain, then yes, switching it off would be murder and sensory deprivation would be torture. Whether they'll actually achieve that, tho, is questionable. If they do, it opens up an ethical nightmare that has already been done to death by science fiction writers.

      --
      Me (Blog)
  2. Where is the content? by art6217 · · Score: 2, Interesting

    The real brain has content - the instinct, the way of learning from experience, and the knowledge learned from the experience. It's a bit like a computer -- there must be at leat some sensible bootstrap code that knows how to populate the circuits with other code and data. What about the `bootstrap' in the simulation? Is it only a random net of randomly initialized neocortical columns? Would not it be a bit like a huge net of random, though primitively adaptive, gates, that ones calls a processor?
    It is surely an interesting research, and I know that even primitive neural nets were used to model quite well some brain disorders etc, but -- "news flash" -- I suppose we are very far from anything being a good brain simulator, and the sci--hype won't help this much.

    1. Re:Where is the content? by goat_of_wisdom · · Score: 2, Interesting

      This is an excellent point. It's one thing to simulate a large number of neurons and an even larger number of synapses, but this is only the first small step toward simulating a real cortical column.

      In order to simulate a mammalian cortical column, the weight and bias of each synapse needs determined (experimentally or by simulation through trial and error) relative to the other synapses in that column (and there are probably tens of millions of synapses in a column consisting of 70,000 neurons).

      This doesn't even take into account the fact that we don't really know how the input to or output from most of these columns is structured.

  3. Re:Thoughts on virtual thoughts by baryon351 · · Score: 4, Interesting

    > So what happens if this thing develops a consciousness?

    Yes. That's what has me thinking. Not that I think we should stop, but it's going to be a disturbing moment when the techs running these things get to a point where they ask a simulation brain questions, get it to perform tasks, get it to react like a human does...

    ...and it says it's scared. or alone. or just wants a friend.

  4. Will come to nothing by countach · · Score: 2, Interesting


    My prediction is that this project will achieve very little. I doubt they know as much as they think they do, but more importantly they won't be able to bootstrap this thing to be comparable to a real person.

    1. Re:Will come to nothing by LnxAddct · · Score: 2, Interesting

      Don't overestimate your own complexity and worth as a human being. All of our consciousness may just be an emergent behavior from billions of neural connections, people seem to get defensive when they hear of efforts to create a machine equal to them, like it would make them worth less or something. I think a lot more of it is just hope, hope that they can't be that easily replaced by a machine. I on the other hand hope this program makes some major progress, I think machines would complement us well.
      Regards,
      Steve

  5. Brain simulation? I doubt it by Adelbert · · Score: 3, Interesting
    About a year ago, I read this book. It's very interesting, and the arguments put forth in it contradict the possibility of simulating the human brain in the way IBM intends.

    While it is true that Moore's Law suggests we will soon have the processing power of the human brain, that doesn't mean we will soon have AI on our hands. If we built this computer and fed into it a "Hello World" program written in Pascal, it isn't going to suddenly become self-aware.

    We only have one type of working brain, so it would make sense to replicate this in every way possible in order to create a simulated intelligence. However, this has a great deal of complexity that we neither have the bioloical knowledge to understand nor the technical knowledge to emulate. Literally millions of neurons are connected inside us, forming cortical maps and working at different levels of awareness, from the lower, barely perceptible levels (reflex actions), to the higher, seemingly conscious, levels (deciding whether to order toast or a bagel for brunch).

    Anyone who's interested in AI (or indeed the operation of the human brain) should read Steve Grand's book. It is highly enlightening, and very thought-provoking.

  6. An AI Essay by tezza · · Score: 2, Interesting
    I stumbed across this when looking for a Java Rules Engine:

    From Socrates to Expert Systems.

    It argues that rules based AI is a dead end. It also classified levels of expertise.

    It would seem like this non-rules-based IBM brain simulation method would be one which could possibly go beyond the 'advanced beginner' stage that Professor Hubert Dreyfus proves that rules base systems are limited to.

    --
    [% slash_sig_val.text %]
  7. Re:In other news by AndroidCat · · Score: 3, Interesting
    What is the difficulty with writing a PDP-8 program to emulate Jerry Ford?

    Figuring out what to do with the other 3K.

    Yep, presidential brain simulation jokes just never get old!
    --
    One line blog. I hear that they're called Twitters now.
  8. 30 years too early, according to Moore's Law by forii · · Score: 2, Interesting

    In the early '90s, I heard that one of the supercomputers at Caltech was able to simulate the complete behavior of a single neuron. Scaling this up by 100 billion times, and then using a rough bastardization of Moore's law, and saying that computational power doubles every 18 months, this leads to a prediction of using a supercomputer (whatever that is at the time) to simulate an entire brain about 50 years after that point.

    Based on this (incredibly rough and inaccurate) analysis, I would predict that this type of project will be successful around the year 2040.

    1. Re:30 years too early, according to Moore's Law by IdahoEv · · Score: 3, Interesting

      As someone who is receiving my PhD in "Computation and Neural Systems" from Caltech this week, and having worked briefly in that lab, I can tell you that the simulation you read about, which is called GENESIS probably simulated the neuron in much greater detail than is ultimately required to create a brain. It simulated the entire physiology and chemistry of the neuron ... every ion flow, trans-membrane voltage, etc. One of the many goals is to explore precisely what information-processing behavior arises from the chemistry and biology.

      But, once you determine that information-processing behavior, one should in theory be able to simulate that without a detailed model of the underlying structure. I mean, if I know that impulses from X input synapses cause the voltage at the soma to raise/lower according to a certain time function, and that a certain voltage at the soma causes an action potential to be fired, which will trigger the neuron's own output synapses to fire Y milliseconds later, I should be able to simulate these properties without going to the pain of modelling the ion channels, capacitance, and resistance of every patch of membrane on the whole neuron's surface.

      That should buy a few years' worth of Moore's law for your prediction. Consider yours an upper bound, and assume we can make shortcuts to bring it sooner than 2040.

      I actually think the top supercomputers are within spitting distance of modelling a human brain - or at least smaller mammalian brains now. The trouble is that despite what TFA leads you to believe, far too little is known yet about the interconnections of those neurons. Even less is known about their learning functions. The state of the art in much of the brain is to stick a few electrodes in, hope you find a couple of neurons that are connected in some way, record for a while and then do statistics on their firing patterns to estimate the strength an type of their pairwise connection. Then by using that they hope to work backwards to deducing the connection patterns of whole clusters of neurons. It's slow, messy work.

      The group in TFA uses thin slices of brain where they can more accurately observe which neurons are connected to which, and which neurons they are recording from. It's a useful technique, but since the connections in the brain are three-dimensional, taking thin slices fundamentally alters the structure. It can't tell us anything.

      Much of the brain is still a black box, effectively. It will still be a while before we can model an entire brain, regardless of CPU power available. My personal gut feeling is that the understanding of the neuronal network is far more the limiting factor at this point.

      --
      I stole this sig from someone cleverer than me.
  9. Re:Thoughts on virtual thoughts by CmdrGravy · · Score: 1, Interesting

    And why would we care ? It's not a human conciousness

  10. What if it works? by Malor · · Score: 2, Interesting

    I doubt they'll get to full human-brain awareness level anytime soon, but ... what if they do? What happens if they create a sentient being inside their simulator? When they're done with the simulation and it's time to start on something new, is turning off the machine killing the 'creature' inside?

    And even if it's not as smart as a human, what then? What ethical guidelines are appropriate? When is it okay to destroy a thinking being, even if you created it yourself? And how complex must it be? Killing a beagle or a dolphin isn't murder, after all, but it's still considered wrong in many cases to do so.

    Are AIs cute and cuddly and protected by humane-treatment laws, or scary and kill-on-sight, like spiders and snakes are for many people?

    How smart does an AI have to be to have rights against termination?

    We've been sort of doodling around with these thoughts for a long time, but it's getting to the point where we may actually need the answers.....

    1. Re:What if it works? by CmdrGravy · · Score: 2, Interesting

      On the flip side what if we created an AI to perform some vital task for us but the AI asked us to turn it off saying that its life was so miserable it would be better off dead ?

  11. is the brain a digital computer? by johnrpenner · · Score: 2, Interesting

    Is the Brain a Digital Computer?
    John Searle

    There is a well defined research question: "Are the computational procedures by which the brain processes information the same as the procedures by which computers process the same information?"

    What I just imagined an opponent saying embodies one of the worst mistakes in cognitive science. The mistake is to suppose that in the sense in which computers are used to process information, brains also process information. To see that that is a mistake contrast what goes on in the computer with what goes on in the brain. In the case of the computer, an outside agent encodes some information in a form that can be processed by the circuitry of the computer. That is, he or she provides a syntactical realization of the information that the computer can implement in, for example, different voltage levels. The computer then goes through a series of electrical stages that the outside agent can interpret both syntactically and semantically even though, of course, the hardware has no intrinsic syntax or semantics: It is all in the eye of the beholder. And the physics does not matter provided only that you can get it to implement the algorithm. Finally, an output is produced in the form of physical phenomena which an observer can interpret as symbols with a syntax and a semantics.

    But now contrast that with the brain. In the case of the brain, none of the relevant neurobiological processes are observer relative (though of course, like anything they can be described from an observer relative point of view) and the specificity of the neurophysiology matters desperately. To make this difference clear, let us go through an example. Suppose I see a car coming toward me. A standard computational model of vision will take in information about the visual array on my retina and eventually print out the sentence, "There is a car coming toward me". But that is not what happens in the actual biology. In the biology a concrete and specific series of electro-chemical reactions are set up by the assault of the photons on the photo receptor cells of my retina, and this entire process eventually results in a concrete visual experience. The biological reality is not that of a bunch of words or symbols being produced by the visual system, rather it is a matter of a concrete specific conscious visual event; this very visual experience. Now that concrete visual event is as specific and as concrete as a hurricane or the digestion of a meal. We can, with the computer, do an information processing model of that event or of its production, as we can do an information model of the weather, digestion or any other phenomenon, but the phenomena themselves are not thereby information processing systems.

    In short, the sense of information processing that is used in cognitive science, is at much too high a level of abstraction to capture the concrete biological reality of intrinsic intentionality. The "information" in the brain is always specific to some modality or other. It is specific to thought, or vision, or hearing, or touch, for example. The level of information processing which is described in the cognitive science computational models of cognition , on the other hand, is simply a matter of getting a set of symbols as output in response to a set of symbols as input.

    We are blinded to this difference by the fact that the same sentence, "I see a car coming toward me", can be used to record both the visual intentionality and the output of the computational model of vision. But this should not obscure from us the fact that the visual experience is a concrete event and is produced in the brain by specific electro-chemical biological processes. To confuse these events and processes with formal symbol manipulation is to confuse the reality with the model. The upshot of this part of the discussion is that in the sense of "information" used in cognitive science it is simply false to say that the

  12. Re:Thoughts on virtual thoughts by MojoRilla · · Score: 3, Interesting

    We don't have to simulate the brain function in real time for it to be a valid simulation. And, if you read the article, they are modeling this on many, many slices of mouse brain. As it says, they hope by doing this that they will shed light on perception, memory, and perhaps even consiousness. It doesn't say they will achieve this, just that they hope to.

    No sensationalism here. Move along.

  13. Re:brains for those who have none ... by pclminion · · Score: 2, Interesting
    Schizophrenia has nothing to do with so-called "Dual/Split" personalities. Look it up

    This irks me, too. The hell that schizophrenics live in is far worse than the experience of a person who simply shifts between multiple personalities. Confusing the two does a disservice to those who suffer with this condition.

    Schizophrenia literally means "Shattered Mind," a person who's cognitive processes are so discombobulated that they can't differentiate the real from the unreal. It's not being Josh one day and Tom the next.