Semantically-correlated memories in a dense associative model

arXiv:2404.07123v1 Announce Type: cross
Abstract: I introduce a novel associative memory model named Correlated Dense Associative Memory (CDAM), which integrates both auto- and hetero-association in a unified framework for continuous-valued memory patterns. Employing an arbitrary graph structure to semantically link memory patterns, CDAM is theoretically and numerically analysed, revealing four distinct dynamical modes: auto-association, narrow hetero-association, wide hetero-association, and neutral quiescence. Drawing inspiration from inhibitory modulation studies, I employ anti-Hebbian learning rules to control the range of hetero-association, extract multi-scale …

abstract arxiv association auto continuous cs.ai cs.lg cs.ne framework graph memories memory novel patterns q-bio.nc type