arXiv cs.NE
· Papers
Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints
arXiv:2607.16027v1 Announce Type: cross Abstract: Introduction: Biological systems face anatomical and metabolic constraints, including costly synaptic maintenance and limited connectivity. These constraints favor neural codes that compress behaviorally relevant information into low-redundancy patterns. We test whether