"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.
"We can currently do small simulations of hundreds to thousands of neurons, but it would be great to be able to scale that up," he says.
The million-neuron grid will have a processing speed equivalent to 300 teraflops, meaning that unlike computer-software simulations of the cortex, the hardwired silicon model will be able to run in real time. "Instead of running a thousand software instructions, it's just current running through transistors, just like real neurons," says Boahen.
Engineers ultimately hope to use the information generated by the silicon cortex in a variety of ways--to build better neural prostheses, for example. "The real-time aspect of this technology allows us in principle to interface the silicon cortex with the real cortex or brain," says Gert Cauwenberghs, a neuroengineer at the University of California, San Diego. "There is the promise, at least in the future, to build a prosthesis to replace some lost motor function or sensory function."
I would like to see them get in the range of the 100 billion neurons of the human brain. The 1 million is at least more than the 100,000 neurons of a housefly. These hardware neurons are faster. The one million is 100 times more than the 10,000 of the previous biggest project. The one million lets them simulate important structures in the human brain.