← People

Donald Olding Hebb

psychologist · 11 mentions across 2 readings

In this course

Hebb is foundational to computational neuroscience and theories of learning through his proposal that synaptic strength changes encode memory—the idea that repeated activation of neurons strengthens their connections. His work is invoked here to ground the cortical assembly theory being discussed, where semipermanent memory structures arise from varying synaptic weights rather than from any single dominant neural pathway. This makes Hebb essential for understanding how artificial neural networks later borrowed biological learning principles to formalize machine learning itself.

Mentioned in 2 readings

Appears alongside

People mentioned in the same passages — sorted by co-occurrence weight.

Pandaemonium Architecture 6.0 — ATEK-639/439 — Fall 2025