Connection Strategies in Associative Memory Models

W. Chen, R. Maex, R.G. Adams, L. Calcraft, Volker Steuber, N. Davey

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
91 Downloads (Pure)

Abstract

The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so results in artificial systems could throw light on real systems. We show that there are efficient patterns of connectivity and that these patterns are effective in models with either spiking or non-spiking neurons. This suggests that there may be some underlying general principles governing good connectivity in such networks.
Original languageEnglish
Pages (from-to)42-51
JournalLecture Notes in Computer Science (LNCS)
Volume5495
DOIs
Publication statusPublished - 2009

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