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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
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