<ul><li>The McCulloch-Pitts model, also known as the McCulloch-Pitts neuron or the threshold logic unit, is a simplified mathematical model of a biological neuron.</li><li>Developed by Warren McCulloch and Walter Pitts in the 1940s, it was one of the earliest attempts to simulate the behavior of neural networks.</li><li>The McCulloch-Pitts model can implement basic logic gates like AND, OR, and NOT, making it suitable for modeling simple logical operations.</li><li>However, it has limitations in modeling complex, continuous functions, and modern artificial neural networks have evolved beyond this simplistic model.</li></ul>

McCulloch-Pitts Neuron — Mankind’s First Mathematical Model Of A Biological Neuron

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