Hebbian learning

Hebbian learning is a neuropsychological and computational theory describing how connections between neurons are strengthened through repeated and correlated activities. It is often summarized by the principle, "neurons that fire together, wire together." Hebbian learning is foundational for understanding synaptic plasticity in neuroscience and has inspired algorithms in artificial intelligence. It is not a molecule, receptor, or druggable biological target, but rather a theoretical framework and principle describing changes in neural network connectivity during processes such as learning and memory[1][3][5][7].\n\nNote: "Hebbian learning" is not a protein, receptor, or molecular therapeutic target. It is a *theory* and mathematical principle, not a physical entity or drug target, so most canonical molecular classification fields (drug interactions, mechanism of action, biomarkers, safety concerns) do not apply[1][3][5].

Other names

Hebb's ruleHebb's postulatecell assembly theoryassociative learning