Origins & Computability · 1949
The Organization of Behavior (Hebbian learning)
Hebb proposed that learning happens by strengthening the connection between neurons that are repeatedly active together, giving a physical mechanism for memory and association.
Editorial record
Plain-language summary
Hebb argued that when one neuron persistently helps fire another, the link between them grows stronger, often summarized as 'cells that fire together wire together'. He used this to explain how groups of neurons form 'cell assemblies' that represent learned concepts and associations. The rule gave neuroscience a concrete account of learning and became a foundational principle for training weights in artificial neural networks.
Knowledge graph
Relationships
Antecedents
ExtendsEvidence: Strongly supported
The Perceptron
Perceptron rule elaborates Hebbian learning
O-017
Descendants
ExtendsEvidence: Strongly supported
A Logical Calculus of Ideas Immanent in Nervous Activity (artificial neuron)
Hebbian learning adds learning to the neuron model
O-010
Source record
Provenance
- Record ID
- O-010
- Record created
- 2026-07-13
- Last reviewed
- 2026-07-14
- Record version
- 2
Citation caveat: Citation metadata is approximate and marked unverified in the source dataset.