A method of weight adaptation in connectionist models that is biologically plausible. Weights between two units get strengthened if both units are active at the same time (“what fires together wires together”). Several variations of Hebbian learning exist (e.g., involving weight decay and temporal aspects of unit activation).
See Cell assemblies, Computational models, Connectionist models, Hebbian synapse