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International Conference on Artificial Neural Networks

ICANN 1996: Artificial Neural Networks — ICANN 96 pp 649–654Cite as

Representing multidimensional stimuli on the cortex

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

Abstract

A computational paradigm based on distributed spatial representation provides an unifying framework for dealing with open issues in modelling cortical maps such as the representation of multidimensional stimuli. This paper describes a computational architecture, based on two overlayed Topology Representing Networks, which is shown to reproduce artificially the ocular dominance bands observed from tangential sections of a monkey's right occipital lobe.

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Author information

Authors and Affiliations

  1. DIST - Department of Informatics, Systems and Telecommunication, University of Genova, Via Opera Pia 13, 16145, Genova, Italy

    Francesco Frisone & Pietro G. Morasso

Authors
  1. Francesco Frisone
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  2. Pietro G. Morasso
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Frisone, F., Morasso, P.G. (1996). Representing multidimensional stimuli on the cortex. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_110

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  • DOI: https://doi.org/10.1007/3-540-61510-5_110

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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