In 1943, Warren S. McCulloch and Walter Pitts introduced a groundbreaking model for representing the nervous system as a network of artificial neurons interconnected by synapses. Their seminal work, A Logical Calculus of Ideas Immanent in Nervous Activity, presented a logical framework for neuron networks, demonstrating their functional similarities to Turing's universal machines. This marked a significant milestone in artificial intelligence and laid the groundwork for the development of artificial neural networks, which are now widely used across domains, including image and speech recognition.

McCulloch pursued studies in philosophy and psychology at Haverford and Yale, later earning a master's degree in psychology from Columbia for his research in experimental aesthetics. He completed his M.D. at Columbia Medical School, where he focused on the physiology of the nervous system. In contrast, Pitts was a self-taught scholar without a formal high school or college degree. He studied mathematical logic under Rudolf Carnap at the University of Chicago and became a highly original mathematical logician. Following the publication of their influential paper, Pitts joined the Research Laboratory of Electronics at MIT, and McCulloch followed him there in 1952.

Their collaborative contributions included the development of a formalism whose refinement and generalization led to the concept of "finite automata," a technique that inspired modern logic design; the pioneering application of computation to the mind-body problem; and the establishment of the first modern computational theory of mind and brain.