Psikolog Kanada, menulis *The Organization of Behavior* (1949) yang memperkenalkan **Hebbian learning** — aturan belajar yang masih relevan di AI modern.
“When an axon of cell A is near enough to excite cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A’s efficiency, as one of the cells firing B, is increased.”
Hebbian learning adalah dasar untuk hampir semua unsupervised learning di neural network. STDP (Spike-Timing-Dependent Plasticity) di neuroscience adalah versi modernnya.