Literature DB >> 3697410

A stochastic model of retinotopy: a self organizing process.

M Cottrell, J C Fort.   

Abstract

Following Kohonen and using the Hebb principle, we define a self organizing stochastic process, which is a simple modelization of the retinotopy, i.e. the establishment of well-ordered connexions between the retina and the cortex. We give some mathematical results about convergence of this process. These results are illustrated by computer simulations.

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Year:  1986        PMID: 3697410     DOI: 10.1007/bf00318206

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


  3 in total

1.  Self-organizing mechanism for the formation of ordered neural mappings.

Authors:  P Erdi; G Barna
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

Review 2.  A marker induction mechanism for the establishment of ordered neural mappings: its application to the retinotectal problem.

Authors:  D J Willshaw; C von der Malsburg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1979-11-01       Impact factor: 6.237

3.  The extended branch-arrow model of the formation of retino-tectal connections.

Authors:  K J Overton; M A Arbib
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

  3 in total
  5 in total

1.  On the rate of convergence in topology preserving neural networks.

Authors:  Z P Lo; B Bavarian
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

Review 2.  Self-organizing maps for internal representations.

Authors:  H Ritter
Journal:  Psychol Res       Date:  1990

Review 3.  The neural development and organization of letter recognition: evidence from functional neuroimaging, computational modeling, and behavioral studies.

Authors:  T A Polk; M J Farah
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

4.  Brain localization for arbitrary stimulus categories: a simple account based on Hebbian learning.

Authors:  T A Polk; M J Farah
Journal:  Proc Natl Acad Sci U S A       Date:  1995-12-19       Impact factor: 11.205

5.  Pattern recognition and classification of images of biological macromolecules using artificial neural networks.

Authors:  R Marabini; J M Carazo
Journal:  Biophys J       Date:  1994-06       Impact factor: 4.033

  5 in total

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