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Synergetics of Cognition pp 233–248Cite as

Visual Representations in the Brain: Inferences from Psychophysical Research

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

Abstract

Current psychophysical models assume that filter outputs are combined to result in threshold signals. This is sufficient for pattern discrimination but fails to explain how things look. A possible solution of the problem is to use pattern recognition methodologies for analyzing spatial vision. However, internal visual representations may differ from those derived from the dimensions of the physical signal variance. Such deviations can be analyzed by using the principle of “virtual prototypes,” i.e., a technique of least-mean-squares adaptive filters.

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Author information

Author notes

  1. T. Caelli

    Present address: Computer Science Department, The University of Melbourne, Parkville, Victoria, 3052, Australia

Authors and Affiliations

  1. Institut für Medizinische Psychologie, Ludwig-Maximilians-Universität München, Goethestraße 31, D-8000, München 2, Fed. Rep. of Germany

    I. Rentschler & T. Caelli

Authors
  1. I. Rentschler
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  2. T. Caelli
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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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Rentschler, I., Caelli, T. (1990). Visual Representations in the Brain: Inferences from Psychophysical Research. 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_14

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  • DOI: https://doi.org/10.1007/978-3-642-48779-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-48781-1

  • Online ISBN: 978-3-642-48779-8

  • eBook Packages: Springer Book Archive

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