Literature DB >> 3478709

A relaxation model for memory with high storage density.

C M Bachmann1, L N Cooper, A Dembo, O Zeitouni.   

Abstract

We present a relaxation model for memory based on a generalized coulomb potential. The model has arbitrarily large storage capacity and, in addition, well-defined basins of attraction about stored memory states. The model is compared with the Hopfield relaxation model.

Mesh：

Year:  1987        PMID： 3478709      PMCID： PMC299332          DOI： 10.1073/pnas.84.21.7529

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


  4 in total

1.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

2.  'Unlearning' has a stabilizing effect in collective memories.

Authors:  J J Hopfield; D I Feinstein; R G Palmer
Journal:  Nature       Date:  1983 Jul 14-20       Impact factor: 49.962

3.  A neural model for category learning.

Authors:  D L Reilly; L N Cooper; C Elbaum
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

4.  Neurons with graded response have collective computational properties like those of two-state neurons.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1984-05       Impact factor: 11.205
  4 in total

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