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Building the Cortex in Silicon

Models of the brain built from specially designed computer chips could reveal the secrets of our cerebrum.

By Emily Singer

Monday, February 12, 2007

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An ambitious project to model the cerebral cortex in silicon is under way at Stanford. The man-made brain could help scientists understand how the most recently evolved part of our brain performs its complex computational feats, allowing us to understand language, recognize faces, and schedule the day. It could also lead to new neural prosthetics.

Silicon chips built to resemble the brain could shed light on its computational power.
Credit: Joseph Lin

"Brains do things in technically and conceptually novel ways--they can solve rather effortlessly issues which we cannot yet resolve with the largest and most modern digital machines," says Rodney Douglas, a professor at the Institute of Neuroinformatics, in Zurich. "One of the ways to explore this is to develop hardware that goes in the same direction."

Neurons communicate with a series of electrical pulses; chemical signals transiently change the electrical properties of individual cells, which in turn trigger an electrical change in the next neuron in the circuit. In the 1980s, Carver Mead, a pioneer in microelectronics at the California Institute of Technology, realized that the same transistors used to build computer chips could be used to build circuits that mimicked the electrical properties of neurons. Since then, scientists and engineers have been using these transistor-based neurons to build more-complicated neural circuits, modeling the retina, the cochlea (the part of the inner ear that translates sound waves into neural signals), and the hippocampus (a part of the brain crucial for memory). They call the process neuromorphing.

Now Kwabena Boahen, a neuroengineer at Stanford University, is planning the most ambitious neuromorphic project to date: creating a silicon model of the cortex. The first-generation design will be composed of a circuit board with 16 chips, each containing a 256-by-256 array of silicon neurons. Groups of neurons can be set to have different electrical properties, mimicking different types of cells in the cortex. Engineers can also program specific connections between the cells to model the architecture in different parts of the cortex.

"We want to be able to explore different ideas, different connectivity patterns, different operations in these areas," says Boahen. "It's not really possible to explore that right now." Boahen ultimately plans to build chips that other scientists can buy and use to test their own theories of how the cortex operates. That new knowledge can then be built into the next generation of chips.

Comments

  • Hot air?
    This is especially interesting if the nature (no pun intended) of the silicon neurons resembles that of real neurons with respect to integrative, temporal, and dynamic behavior. However, for the last 5-7 years I have been reading about projects like this that are 'underway' or where scientists are now 'thinking about starting up on the beginning of something great'. Let me know when someone has actually made some hardware that runs.
    Rate this comment: 12345

    spicker
    02/12/2007
    Posts:4
    • Re: Hot air?
      Did you read the part that said they had replicated the cochlea (inner ear) and what, the thalmus? So now they're working on yet another part of the brain - and every year advancements are made.

      What, its not good enough for you to only have modelled two parts of the brain, they have to get the whole thing done before you take notice? Let me guess: You aren't very good at investing. Just a thought.

      Honestly, saying this kind of research is hot air is like saying these 'darn computers' are just passing fads.
      Rate this comment: 12345

      TRAyres
      02/13/2007
      Posts:1
      Avg Rating:
      4/5
      • Re: Hot air?
        Yes, I read the part about the cochlea but didn't see the word 'replicated' only that they 'modelled' it, which I interpret as 'a model' not 'the model'. As far as I know people are still building various models of the cochlear - but I haven't heard of people claiming they replicated it.

        Do not mistake, I think it is great that people model the various parts of the brain. However, one needs to carefully look at the assumptions and conditions set up for the model.

        When Kwabena Boahen is planning to create 'a silicon model of the cortex' I think it is a bold statement to claim that he replicated it. No doubt he will find interesting answers and I am eager to see the results but also hesitant to expect the final solution.

        When a transistor models a neuron, it models parts of its electrical properties and perhaps also wiring pattern. But seldomly, it takes into account all of its intricate chemical and physical functionality. The temporal aspects stemming from deprivation of neurotransmitter, enhancement of synapses, gene expression leading to additional receptors and the like, are most often not inherent in the silicon models presently suggested and I would question whether they are part of Boahen's but will appreciate it if it is the case.

        No doubt Boahen's model will bring further understanding but I miss to see why this attempt is more special than the silicon attempts made previously.

        Rate this comment: 12345

        spicker
        02/13/2007
        Posts:4
        • Re: Hot air?
          Actually, where would you draw the line between model and replica? As I see it, the only thing that could claim to be something like a replica would be a atom-by-atom simulation. Anything that simplifies this, would already be a model.

          Of course, one can try to model at various levels of refinement, but still everything that you put into the computer and call it "neuron" will be a model, unless it is a atom-by-atom simulation.

          Obviously, such a complete simulation is impossible with todays and probably also next week's technology. But even more: it would not help us a bit in understanding. A replica is - by definition - exactly as complex as the original, so it is exactly as complicated to understand.

          Only a reasonable model helps understanding. Scientists have to try different models to find out which aspects are important to capture the working of the original.
          Rate this comment: 12345

          NNemec
          02/13/2007
          Posts:1
          • Re: Hot air?
            > Of course, one can try to model at various levels
            > of refinement, but still everything that you put
            > into the computer and call it "neuron" will be a
            > model, unless it is a atom-by-atom simulation.

            Nope; the atom is still a physical model.
            Rate this comment: 12345

            bshi
            02/13/2007
            Posts:1
          • Re: Hot air?
            Agree. I should not have put so much emphasis on the 'replica' word from TRAyres' response

            Sorry for the confusion.

            I was triggered by the title 'Building the cortex in silicon' and failed to be as brief as the reply from stevenzenith.
            Rate this comment: 12345

            spicker
            02/13/2007
            Posts:4
  • long term memory?
    What sort of long term memory is being built in? Will this artificial cortex be able to rewire the neurons? Store information within neurons? These are the sorts of things that make the real cortex different from the retina.
    Rate this comment: 12345

    ms
    02/12/2007
    Posts:129
    Avg Rating:
    4/5
    • software modelling of connections
      My understanding (coming mostly from a recent New Scientist article on this topic) is that rewiring of neurons or changing the strengths of connections between neurons will be modelled with a database run basically run by a normal computer chip.
      Rate this comment: 12345

      reluctanteli...
      02/20/2007
      Posts:1
  • Teraflop
    Intel recently build a processor that could process at 80 teraflops. Its high time these sort of projects started thinking big.
    Rate this comment: 12345

    rajamouli200...
    02/13/2007
    Posts:2
    • Re: Teraflop
      Take care.  Raw flop counts are pretty meaningless.  In this article, their term should be "TeraOp", since hardware-based NNs don't do IEEE floating point operations (FLOPs).

      Also, large numbers of CPU ops/second are an easy claim when you ignore RAM bandwidth.  To wit: a CPU with 64 bit registers + 3 GHz clock = 192 GigaOps.  Multiply that by 3-4 functional units per CPU, and your laptop approaches a TeraOp. 

      So is every three year old PC a supercomputer?
      Rate this comment: 12345

      randcraw
      02/13/2007
      Posts:2
      Avg Rating:
      3/5
    • Re: Teraflop
      Actually it is an 80 core processor that functions at 1 teraflop.

      According to Ray Kurzweil, a desktop around the year 2020 should have the computing capacity to function at the speed of the human brain (2*10^16 cps).

      There also have been models of the cerebellum, not just the inner ear.
      Rate this comment: 12345

      Todd
      02/13/2007
      Posts:5
      • Re: Teraflop - model of brain
        I have a model of the entire brain on my desk! It is a little rubber thingy I can squeeze when feeling stressed...

        ... or when feeling discomforted about having been too sarcastic in a comment to an article in a magazine.
        Rate this comment: 12345

        spicker
        02/14/2007
        Posts:4
  • Not entirely original or sufficient
    I believe that Steve Furber at Manchester University announced some time ago a similar scale project. Like that project I anticipate that the results will be limited. Modeling the electrical properties of the brain disconnected from other physiological phenomena seems clearly insufficient.
    Rate this comment: 12345

    stevenzenith
    02/13/2007
    Posts:2
  • Interesting Article and a Tiny Mistake
    I believe it should read either "a better [...] prosthesis" or "better [...] prostheses". Nitpicky, I know, but I am a bit OCD about grammar.
    Rate this comment: 12345

    WickedWitch
    02/13/2007
    Posts:1
  • theory-edge mailing list
    what kind of algorithm is the brain
    computing? maybe something hebbian, or
    similar to the SVD, singular value decomposition.

    check for & discuss related cutting edge developments in algorithmics & mathematics at
    the theory-edge mailing list,

    http://groups.yahoo.com/group/theory-edge/
    Rate this comment: 12345

    vznuri
    02/14/2007
    Posts:1
  • man made brain
    If the..(people).. who are so concerned about cloning and spirituality would give it a break...
    Make a real brain like the rat heart.Then the testing could be better and easier..
    Rate this comment: 12345

    dallassmelts...
    03/15/2008
    Posts:1

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