Hebbian Learning

SIGNAL ANALYSIS

Biological systems face constraints like costly synaptic maintenance and limited connectivity, favoring neural codes that compress behaviorally relevant info into low-redundancy patterns. Constrained Hebbian learning supports efficient representational allocation under these constraints. This could mean more efficient AI models, but we don't know yet whether it holds up outside theory.