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A Comparative Study of Sparse Associative Memories

Research paper by Vincent Gripon, Judith Heusel, Matthias Löwe, Franck Vermet

Indexed on: 24 Jun '16Published on: 24 Jun '16Published in: Mathematics - Probability



Abstract

We study various models of associative memories with sparse information, i.e. a pattern to be stored is a random string of $0$s and $1$s with about $\log N$ $1$s, only. We compare different synaptic weights, architectures and retrieval mechanisms to shed light on the influence of the various parameters on the storage capacity.