Part 2/15:
The story begins in the 1940s with Warren McCullock and W. Pitts, who proposed a simplified mathematical model of neuron firing. They conceptualized neurons as entities that receive signals, perform a computation (such as a weighted sum), and then fire if certain conditions are met. This McCullock-Pitts model essentially laid the groundwork for understanding how biological neurons could be emulated in artificial systems.