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Gamma-Band Oscillations in a Cortical Model

  • Conference paper
Neural Network Dynamics

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

Computer simulation was used in a study of the dynamical behaviour of an anatomically-realistic model of the primary visual cortex. The model incorporated the inter-layer connections in a given cortical area, and also the forward and reverse projections by which adjacent areas in the visual hierarchy interact. It was found that the dynamical behaviour of a two-area model displayed oscillations at a frequency of around 50Hz, which lies in the so-called gamma band. The observed oscillations may have the same origin as those recently seen experimentally under certain conditions in the visual systems of cats.

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Author information

Authors and Affiliations

  1. Division of Biophysics, Technical University of Denmark, DK-2800, Lyngby, Denmark

    Rodney M. J. Cotterill & Claus Nielsen

Authors
  1. Rodney M. J. Cotterill
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  2. Claus Nielsen
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Editor information

Editors and Affiliations

  1. Centre for Neural Networks, Department of Mathematics, King’s College, Strand, London, WC2R 2LS, UK

    J. G. Taylor BA, BSc, MA, PhD, FlnstP (Director) (Director)

  2. Dipartimento di Fisica Teorica, Università di Salerno, Via S. Allende, 84081, Baronissi (SA), Italy

    E. R. Caianiello

  3. Department of Biophysics, The Technical University of Denmark, Building 307, DK-2800, Lyngby, Denmark

    R. M. J. Cotterill BSc, MS, PhD, DSc, FlnstP, C.Phys.

  4. Department of Physics, Washington University, St Louis, Missouri, 63130, USA

    J. W. Clark

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© 1992 Springer-Verlag London Limited

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Cotterill, R.M.J., Nielsen, C. (1992). Gamma-Band Oscillations in a Cortical Model. In: Taylor, J.G., Caianiello, E.R., Cotterill, R.M.J., Clark, J.W. (eds) Neural Network Dynamics. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-2001-8_13

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  • DOI: https://doi.org/10.1007/978-1-4471-2001-8_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19771-3

  • Online ISBN: 978-1-4471-2001-8

  • eBook Packages: Springer Book Archive

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