MIT Creates Chip to Model Synapses
MrSeb writes with this excerpt from an Extreme Tech article: "With 400 transistors and standard CMOS manufacturing techniques, a group of MIT researchers have created the first computer chip that mimics the analog, ion-based communication in a synapse between two neurons. Scientists and engineers have tried to fashion brain-like neural networks before, but transistor-transistor logic is fundamentally digital — and the brain is completely analog. Neurons do not suddenly flip from '0' to '1' — they can occupy an almost-infinite scale of analog, in-between values. You can approximate the analog function of synapses by using fuzzy logic (and by ladling on more processors), but that approach only goes so far. MIT's chip is dedicated to modeling every biological caveat in a single synapse. 'We now have a way to capture each and every ionic process that's going on in a neuron,' says Chi-Sang Poon, an MIT researcher who worked on the project. The next step? Scaling up the number of synapses and building specific parts of the brain, such as our visual processing or motor control systems. The long-term goal would be to provide bionic components that augment or replace parts of the human physiology, perhaps in blind or crippled people — and, of course, artificial intelligence. With current state-of-the-art technology it takes hours or days to simulate a simple brain circuit. With MIT's brain chip, the simulation is faster than the biological system itself."
The problem is not providing such components, nor get them to work like the original nor getting it into your head. The real problem I see is interfacing with the rest of the brain.
Because, let's face it, that's something every coder knows: Interfacing, working and supporting legacy systems just sucks.
With MIT's brain chip, the simulation is faster than the biological system itself.
Uh-oh.
which is totally what she said
They want their Neuristor back.
Have you ever stood and stared at it, marveled at its beauty, its genius? Billions of people just living out their lives, oblivious. Did you know that the first Matrix was designed to be a perfect human world, where none suffered, where everyone would be happy? It was a disaster. No one would accept the program, entire crops were lost. Some believed we lacked the programming language to describe your perfect world, but I believe that, as a species, human beings define their reality through misery and suffering. The perfect world was a dream that your primitive cerebrum kept trying to wake up from. Which is why the Matrix was redesigned to this, the peak of your civilization. I say your civilization, because as soon as we started thinking for you it really became our civilization, which is of course what this is all about. Evolution, Morpheus, evolution. Like the dinosaur. Look out that window. You've had your time. The future is our world, Morpheus. The future is our time.
-- Agent Smith (The Matrix)
"Simon, what day is this?" "God, I don't know. My damned chip is f***ed up beyond repair. It's turning to snot inside my head. It's driving me crazy."
Due to their incompatibility with newer systems, meat bags are now obsolete.
FRA: STFU GTFO
"You cannot step twice in the same river". That means we are constantly changing. Over sufficiently long period, old person has all but died while new one has gradually taken over.
Using that reasoning, we could replace biological brains bit-by-bit over long period of time, without killing the subject. In the end, if successful, the person has no more biological brains left. He'd have all digital brains. Backups, copies, performance tuning, higher clock rates, more memory, more devices, ... and immortality.
"..the silicon chip can simulate the activity of a single brain synapse..."
From a synapse you have to go to a neuron and from there to neural circuit, with
new problems at every stage.
And it is also a question if they really now about "each and every ionic process".
I like that long term goal. I'd also like the nerve tissue in the rest of my body replaced with this stuff too. Wired reflexes FTW!
I wonder if this chip can do plasticity and learning just as a real brain.
One thing is to hardwire a neural network, another is to mimic the brain.
The brain constantly rewires itself in different ways to learn.
1. Build a farm of brain chips
2. Expose the brain chips via an API
3. Build a cloud service for brain chips
4. Market as Brain Power on Demand(tm)!
5. ???
6. Profit!!
get them to work like the original
Is this really something that we could do in the foreseeable future ? My understanding is that the brain programs itself (or we program it if you like) during the first years of our lives (5 to 7) for the most part. An empty new 'brain part' would act just like some parts of the brain act after a stroke I suspect, meaning that it'll take years and years to (re)train it.
Similarly, children that grew up with animals alone, with little or no interaction with other humans (there were some cases) are never able to learn to speak fluently, because that part of the brain never fully develops (ie. is never programmed).
AFAIK we don't know enough about how the brain works to pre-program such components and it would need to be strongly tuned to the destination brain, otherwise it won't work very well or at all. We know about the lower-level stuff (neurons, synapses) and some things about the higher-level (regions and general functions), but not much in between (though, I'm not a specialist).
Even so, I can see some medical uses for this, for people with disabilities. Though nothing like what you see in 'Ghost in the Shell'.
Ok, so first we build this giant super-fast, high-capacity infant brain and then expose it via a documented API to the public internet so that we can tap into the practically infinite supply of free, unmoderated, user-generated content in order to train it to learn and interact with humans.
There is *no* way that during this process it could go insane and decide to try to destroy itself and/or the world. Completely safe. Yep. Make sure we tell that to the shareholders.
...do they model free will?
... they used analogue electronics.
And the radical new technology is what? This was done in the 1960s. Sure, there may be a bit more accuracy and finesse with this version, but really, cutting edge this is not.
1 synapse = 400 transistors.
current gpus = 3,000,000,000 transistors.
so we currently can achive 7,500,000 synapses, assuming that there is absolutely no overhead in having more synapse work togheter...
and those are just the synapse, without the neurons...
human brain: 10^11 (one hundred billion) neurons, and each one has on average 7,000 synaptic connections to other neurons...
we're still far, but interesting work anyway.
...and war was beginning.
Relax - that just means that either they implemented a discrete time dynamical system (i.e., the chip's simulation has a discrete clock, which the brain doesn't), or the time constants on their system (ion channel flows, etc) are wrong, or both.
Lots of people have accurately simulated single neurons with hardware components before (see https://secure.wikimedia.org/wikipedia/en/wiki/Hodgkin%E2%80%93Huxley_model for an actual analogue circuit from the 50s) but figuring out the a priori wiring & weights connecting the neurons is far more difficult & they've done nothing to address this. Just consider the fact that our individual neurons aren't that different from other mammals' neurons, but we're much smarter than other mammals. You can't just wire together a million of these chips and have it do anything interesting. "It's the network, stupid."
or produce a replica of /b/?
It may be faster, but what about performance per watt? You know, the whole brain does everything on only 40-50 watts. How does this MIT product compare to brains in this area?
Are you suggesting that is in some way fundamentally different from attempting to self-annihilate?
The way I remember it is that a transistor stops a much larger current from passing through until a signal is put on the gate in the middle. Then the current that passes through is in proportion to the signal strength.
The circuit becomes digital when we decide that only very small and very large voltages counts as 0s and 1s.
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Very cool and all, but why does the summary call this a "Computer Chip?
Sounds a bit cargo-cult to me. "This is the way a human brain works, therefore if we want AI, we have to replicate that". Nope. No reason a purely digital AI couldnt exist, without having to simulate the analogue nature of the human brain first. Without that legacy stuff, it'd probably be hundreds of times more efficient, too.
Another university already came up with a way to put "analogue transitors" or "solid state valves" or whatever you'd like to call them, on a chip die. So why the need for 400 binary ones? Because MIT didn't come up with the idea? Is that it?
The analog nature of the neuron isn't really the key to making "artificial brains" - the problem is simply scale.
Agreed.
We will never be able to produce enough of these chips and tie them together well enough to produce anything conventionally interesting
Shall we cue here all the "never" predictions of the last century? By the year 1900 there were lots of experts predicting we would never have flying machines, by 1950 experts were predicting the whole world would never need more than a dozen computers.
Moore's law, or should we say Moore's phenomenon, has been showing how much electronic devices scale in the long run.
Current GPU systems consume large wattages, so if you have brain augmentation in this way you are likely to need your head connected to a PSU connected in turn to a mains supply.
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Karma: Chameleon
Where we're going, we don't need breathable oxygen and metabolized chemical energy anymore. Time isn't much of a problem anymore either. Maybe we can finally get off of this ol' rock and start doing space exploration for real.
No need to force any meatbags to change their ways either, they can continue to rest on their laurels while we get just enough to get started and then leave them behind. The only exception is that we might occasionally keep in touch for old time's sake and let them know if we find anything interesting, but that's about it.
so we build a synapse, and then link to more, and more, and before you know it we have a "brain",
We could call it a Positronic Brain, sounds catchy, and marketable.
And we really should enforce some rules to prevent a 'skynet' occurrence, not too many rules though, ............
I'm sure we could distill the logic down to three simple rules
da da da dum indeed.
A hundred bucks says a woman and her son, black dude and a juice head will break into the lab, blow it up and throw the chip into a vat of molten metal.
All that work for nothing.
I might be out of date, but: the event itself requires the neuron's action potential to reach a threshold, then the synapse fires. It either fires or it does not. On or off. But the process of reaching the firing threshold is analog, since the physical geometry of the neuron and of its afferent neural feeds (inputs) determines at what point the neuron will fire. Neurotransmitter quantities in the synapse are also modifiable though eg by drugs and natural up/down regulation of receptors, enzymes or re-uptake inhibition. So a neuron is an analog computer having output with various amplitudes of on/off.
Makes me wonder. I assume the immortal machine would think it WAS the subject. But would the subject think he was the machine?
MIT’s chip — all 400 transistors (pictured below) — is dedicated to modeling every biological caveat in a single synapse. “We now have a way to capture each and every ionic process that’s going on in a neuron,” says Chi-Sang Poon, an MIT researcher who worked on the project.
Just because you finally can recognize the letters of the alphabet doesn't mean you can speak the language.
If it's analog, then it's behaviour is unique per chip, and so anything you build from them will be subtly unique. So "software" would behave differently depending on the unit it was running on. You thought 4 or 5 versions of Linux was tricky to support...
For those who RTFA (or at least clicked) anybody else see his eyes in that picture and wonder if Data had been smoking pot?
He made hybrid analog-digital circuits to emulate retina processing. There was some talk of self-adjusting cameras using these, but I've lost track.
They built these out of circuits before computers got cheap enough. They had "memory" which implemented training-by-example. Huge debat int he A.I. labs whether they were significant. But they seem to return in some new form every decade.
There are no two distinct bodies. The GP is proposing piecewise replacement (probably after defects, I wouldn't get them any other way) and improvement. That is not the conventional uploading you see around, and "feels" way different.
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I had to play with the beowulf meme. :)
But really, what good is modelling a single neuron when you'd need billions or trillions of these chips clustered together to mimic an actual human brain?
I do not fail; I succeed at finding out what does not work.
The summary is way off. Transistors are analog devices, so TTL may behave digitally but that's only because a lot of work was done to make that happen. All that's happening here is taking analog devices with certain characteristics and using them to model an analog process with certain other characteristics. No small feat mind you.
Don't mind me, posting to undo accidental moderation
If we're talking about large scales of interconnection between these artificial neurons, optical signaling is clearly a good first step. Designing adequate wiring with conventional technology would be a nightmare.
Can you imagine using quantum entangled particles to communicate between neurons? Now that kind of brain would be off the hook!
I for one welcome our robotic overlords!
I believe this issue has already been unequivocally settled in Star Trek TNG season 2, episode 9.
If Skynet refuses a wipe/reinstall, just make sure you've changed the crypto on access to our military systems.
Ask me about my sig!
So they used their synapses to design something to allow them to study their synapses
Coder's Stone: The programming language quick ref for iPad
Rights come into existence when an entity with sufficient power is willing to exercise that power, or makes a convincing show of willingness, in order to guarantee whatever the claim of right is. Everything else is what we call "wishful thinking", ofttimes accompanied by argument.
And if you don't think rocks have rights, try collecting a vertebrate fossil on government land in front of a park ranger. You'll soon learn differently.
I've fallen off your lawn, and I can't get up.
If you acknowledge that the artificial brain is just a collection of interconnected silicon, the wiping of its neurons is just a physical process to meet the wipers needs. Just like the human brain is just a bunch of interconnected cells, and the wiping of it has no objective value attached to it.
Humans have created a mental construct from the notion of emotional suffering, though. If you murder a human, people around that human may suffer or feel afraid, and that's really the only rationale for why murder is bad. For the murdered human himself, it is of no consequence - the brain has ceased to function, and thus he cannot have an opinion about being dead.
It's certainly an interesting thought experiment on the continuity of consciousness, but it's important not to ignore the implications of "conventional uploading" or the construction of a physically identical duplicate. The former case is IMO easier to deal with philosophically, but if this sort of thing were ever to become a reality then the latter case also must be considered. I have concluded that they will remain in the realm of imagination, but it will be fascinating if I'm wrong.
Your brain is not a computer.