Brain Computing - Perchè Brain Computing

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Brain Computing
Di seguito è riportato il modello concettuale del Brain Computing.

It Brain Computing is interesting to estimate how many arithmetic operations might be required to simulate an average human brain. If this simulation is done in the simplest possible way - by adding the contribution of every synapse to every neuron we could proceed as follows:

Number of synapses in a brain =
synapses per neuron * neurons in a brain =
1500 * 100 000 000 000 = 1 500 000 000 000 000 = 1.5 x 1014

Number of calculations per synapse = 2 (read current state of synapse, add to sum for connected neuron. Note these are integer operations (not floating point))

Number of calculations per second per synapse = 1000 (allows for a maximum firing rate of 500Hz for each synapse, which is about 2 to 5 times higher than normally recorded)

Total number of integer operations per second = 1.5 x 1014 * 2000 = 3.0 x 1017

Brain:
300,000,000,000,000,000 iOps / second

"Earth Simulator" supercomputer performs 36 Terra flOps / second. This is about 15 000 times better than a P4. Assuming a floating point operation is performed at roughly the same speed as an integer operation (it is actually slower), we have...

Earth Simulators required to model 1 brain = 3.0 x 1017 / 3.6 x 1013 = 8333. This is roughly equivalent to 120 million pentium 4 computers!

1 Brain = 8333 State-of-the-art Supercomputers

http://www.capcollege.bc.ca/programs/computing-science/cool/neurons.html#brain