arXiv cs.NE
· Papers
Redundancy Maximization as a Principle of Associative Memory Learning in Hopfield Networks
arXiv:2511.02584v2 Announce Type: replace-cross Abstract: Associative memory, traditionally modeled by Hopfield networks, enables the retrieval of previously stored patterns from partial or noisy cues. Yet, the local computational principles which are required to enable this function remain incompletely understood. To