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Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

Soft topology-preserving map and its batch version are proven to be reduced to cortical map and elastic net, respectively. This verifies numerous results of numerical simulations described in the literature demonstrating similarities of neural patterns produced by lateral and elastic synaptic interactions.

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Author information

Authors and Affiliations

  1. School of Computing, University of Paisley, Paisley, PA1 2BE, Scotland

    Valery Tereshko

Authors
  1. Valery Tereshko
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Tereshko, V. (2005). Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_40

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  • DOI: https://doi.org/10.1007/11494669_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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