Neuron-Level Simulation Surpasses Cat Brains

Ars Techina reports:

An interdisciplinary team of researchers at IBM have presented a paper at the SC09 supercomputing conference describing a milestone in cognitive computing: the group’s massively parallel cortical simulator, C2, now has the ability to simulate a brain with about 4.5 percent the cerebral cortex capacity of a human brain, and significantly more brain capacity than a cat.

…building a highly accurate simulation of a complex, nondeterministic system doesn’t mean that you’ll immediately understand how that system works—it just means that instead of having one thing you don’t understand (at whatever level of abstraction), you now have two things you don’t understand: the real system, and a simulation of the system that has all of the complexities of the original plus an additional layer of complexity associated with the models implementation in hardware and software.



The problem described above doesn’t mean that accurate simulations are worthless, however. You can poke, prod, and dissect a brain simulation without any of the ethical or logistical challenges that arise from doing similar work on a real brain.

I wonder if the Animal Liberation Front people are functionalists.

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