Heated debates have been raging over biomimicking humans in various forms of artificial intelligence for decades. In the 1940s, McCulloch and Pitts (see Chapter 2, Think like a Machine) came up with a human neuron. Then Rosenblatt came up with a human perceptron (Chapter 4, Become an Unconventional Innovator). Mimicking humans seemed to have conquered the world of artificial intelligence networks. Then, in 1969, Minsky slowed research down by proving that a perceptron could not solve the XOR problem (see Chapter 4, Become an Unconventional Innovator).
Today, deep learning networks reproduce our mental way of thinking. Neuroscientists now work on representing our physical brain functions. These two different fields, though different, still inspire each other.
Neural networks provide good mathematical models of how our mind works...
