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A Model for Feature Linking via Correlated Neural Activity

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Book cover Synergetics of Cognition

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 45))

Abstract

Based on our neurophysiological findings, we developed a neural network model that performs feature linking via modulatory interactions. In the linked state, the activities of the model neurons are highly synchronized. The model’s performance is demonstrated in an example of contrast-dependent region linking and in examples of region definition in the Craik-O’Brien-Cornsweet illusion.

We believe that stimulus-dependent synchronizations as we found them in the cat’s primary visual cortex are very likely to be a universal principle for associative linking in the central nervous system at stages ranging from pre-attentive linking up to higher levels of visual integrations and even up to associative linkings among other sensory modalities and memory.

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Author information

Authors and Affiliations

  1. Applied Physics and Biophysics Dept., Philipps-University Marburg, Renthof 7, D-3550, Marburg, Fed. Rep. of Germany

    H. J. Reitboeck, R. Eckhorn, M. Arndt & P. Dicke

Authors
  1. H. J. Reitboeck
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  2. R. Eckhorn
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  3. M. Arndt
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  4. P. Dicke
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Editor information

Editors and Affiliations

  1. Institut für Theoretische Physik und Synergetik, Universität Stuttgart, Pfaffenwaldring 57/IV, D-7000, Stuttgart 80, Fed. Rep. of Germany

    Hermann Haken

  2. Center for Complex Systems, Florida Atlantic University, Boca Raton, FL, 33431, USA

    Hermann Haken

  3. Fachbereich Human- und Sozialwissenschaften, Studiengang Psychologie, Universität Bremen, D-2800, Bremen 33, Fed. Rep. of Germany

    Michael Stadler

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© 1990 Springer-Verlag Berlin, Heidelberg

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Reitboeck, H.J., Eckhorn, R., Arndt, M., Dicke, P. (1990). A Model for Feature Linking via Correlated Neural Activity. In: Haken, H., Stadler, M. (eds) Synergetics of Cognition. Springer Series in Synergetics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48779-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-48779-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-48781-1

  • Online ISBN: 978-3-642-48779-8

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