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Pattern Segmentation in an Associative Network of Spiking Neurons

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Plausible Neural Networks for Biological Modelling

Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 13))

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Abstract

A model of an associative network of spiking neurons (the Spike Response Model) is used to demonstrate the potential power of the correlation theory for solving the binding problem under biologically realistic constraints. A real world application and the current experimental evidence in support of this hypothesis are discussed.

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Author information

Authors and Affiliations

  1. Innovationskolleg Theoretische Biologie, Humboldt-Universität zu Berlin, Invalidenstraße 43, D-10115, Berlin, Germany

    Raphael Ritz

Authors
  1. Raphael Ritz
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Editor information

Editors and Affiliations

  1. Department of Neurobiophysics and Biomedical Engineering, Physics Lab., University of Groningen, The Netherlands

    Henk A. K. Mastebroek

  2. Department of Developmental Neurology, Medical Physiology, University of Groningen, The Netherlands

    Johan E. Vos

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© 2001 Springer Science+Business Media Dordrecht

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Ritz, R. (2001). Pattern Segmentation in an Associative Network of Spiking Neurons. In: Mastebroek, H.A.K., Vos, J.E. (eds) Plausible Neural Networks for Biological Modelling. Mathematical Modelling: Theory and Applications, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0674-3_6

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  • DOI: https://doi.org/10.1007/978-94-010-0674-3_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3864-5

  • Online ISBN: 978-94-010-0674-3

  • eBook Packages: Springer Book Archive

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