Associative memory with high information content

J. Buhmann, R. Divko, K. Schulten

Research output: Contribution to journalArticlepeer-review

Abstract

An extension of Hopfields model with adaptive threshold and inhibitory interactions yields a network capable of nearly optimal storage of patterns of low activity. A replica symmetric solution of the mean-field equations is presented for the noise-free case. The following properties are demonstrated: For a low level of activity a the storage capacity increases as -(a lna)-1; up to 0.38 bits per synapse can be stored; spurious states can be suppressed; the network is not opinionated, i.e., it can categorize inputs as not similar enough to patterns stored.

Original languageEnglish (US)
Pages (from-to)2689-2692
Number of pages4
JournalPhysical Review A
Volume39
Issue number5
DOIs
StatePublished - 1989

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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