Literature DB >> 760833

Analysis of recall and recognition in a certain class of adaptive networks.

Y Yeshurun, N Richter-Dyn.   

Abstract

A general model of adaptive networks which perform recall is analyzed in view of qualitative psychological findings. The assumptions underlying the basic model are few and general in the sense that no specifications of structure or mechanisms of adaptation are imposed. The analysis of the model is towards the addition of various features drawn from the global input-output relations expected from the networks. The memorizing process of recognition is found to be intrinsic to the model, and four of the most prominent relations between the performance of recall and recognition are shown to either exist in model or to be realizable by means of few additional plausible features.

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Year:  1979        PMID: 760833     DOI: 10.1007/bf00337449

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  5 in total

1.  Cognitron: a self-organizing multilayered neural network.

Authors:  K Fukushima
Journal:  Biol Cybern       Date:  1975-11-05       Impact factor: 2.086

2.  Nerve net models of plausible size that perform many simple learning tasks.

Authors:  G S Brindley
Journal:  Proc R Soc Lond B Biol Sci       Date:  1969-11-18

3.  A neuron model with learning capability and its relation to mechanisms of association.

Authors:  H Wigström
Journal:  Kybernetik       Date:  1973-05

4.  A model of associative memory in the brain.

Authors:  K Fukushima
Journal:  Kybernetik       Date:  1973-02

5.  Self-organization of orientation sensitive cells in the striate cortex.

Authors:  C von der Malsburg
Journal:  Kybernetik       Date:  1973-12-31
  5 in total

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