The logical neuron

McCulloch and Pitts did not produce a trainable neural network, but they connected nervous-system behaviour to computation. The artificial neuron became a formal building block: it accepts signals, compares their sum with a threshold and produces an output. That abstraction survived for decades and still underpins how neural networks are described.