Literature DB >> 6251925

A model of the complex cell based on recent neurophysiological findings.

T Nagano, K Kurata.   

Abstract

A neural network model is proposed for the understanding of the receptive field properties of the complex cell. The model is based on recent neurophysiological findings on the visual cortical network. The model is proved to be functionally identical with Hubel's and Wiesel's hierarchy model though the two models are structurally quite different.

Mesh：

Year:  1980        PMID： 6251925     DOI： 10.1007/bf00356036

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


  5 in total

1.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

2.  An intracellular analysis of visual cortical neurones to moving stimuli: response in a co-operative neuronal network.

Authors:  O D Creutzfeldt; U Kuhnt; L A Benevento
Journal:  Exp Brain Res       Date:  1974       Impact factor: 1.972

3.  Receptive fields of simple cells in the cat striate cortex.

Authors:  P O Bishop; J S Coombs; G H Henry
Journal:  J Physiol       Date:  1973-05       Impact factor: 5.182

4.  An analysis of neuronal circuitry for two types of visual cortical neurones classified on the basis of their responses to photic stimuli.

Authors:  K Toyama; K Maekawa; T Takeda
Journal:  Brain Res       Date:  1973-10-26       Impact factor: 3.252

5.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182
  5 in total
  1 in total

1.  A self-organizing neural network model for the development of complex cells.

Authors:  T Nagano; K Kurata
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086
  1 in total

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