how to make a computer program to replicate the brain

Working with John Hopfield and Richard Feynman in the 1960s, Mead realized that there was more that we could do with our knowledge of the brain, using it to unlock the true potential of silicon. We’ve learned only the first, the most obvious thing that the brain does.” That’s the furthest thing from the truth.

“And people talk about it now as if we’ve learned what the brain does. This insight, slowly developed with increasingly advanced neural networks, led to what we now know as deep learning. “And that is that the average neuron has several thousand inputs.” “The field as a whole has learned one thing from the brain,” Mead said. In 1943, neurophysiologist Warren McCulloch and mathematician Walter Pitts wrote a paper on how neurons in the brain might work, modeling the first neural network using electrical circuits. Others had already begun to look to the brain for new ideas. It got me thinking that brains are founded on just completely different principles than we knew anything about.” Along with Lynn Conway, he enabled the Mead & Conway revolution in very-large-scale integration (VLSI) design, ushering in a profound shift in the development of integrated circuits in 1979.Įven then, he realized that “the fundamental architecture is vastly underutilizing the potential of the silicon by maybe a factor of a thousand. Mead was the first to predict the possibility of storing millions of transistors on a chip.

How to make a computer program to replicate the brain