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The role of feedback connections in task-driven visual search

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Book cover Connectionist Models in Cognitive Neuroscience

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

Abstract

Studies of attention suggest a model in which attention emerges from a parallel, distributed competition. Within that framework, this contribution tries to explain the findings of the experiment by CHELAZZI ET AL. [1] by taking into account feedback from successive stages. It is shown that the developed model can qualitatively obtain the same results as measured in the experiment. Furthermore, the model shows promising similarities to human reaction times in visual search tasks.

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Author information

Author notes

  1. F. H. Hamker

    Present address: Workgroup of Adaptive System Architecture, JW Goethe-Universität, 60054, Frankfurt am Main, Germany

Authors and Affiliations

  1. Department of Neuroinformatics, Technische Universität Ilmenau, D-98684, Ilmenau, Germany

    F. H. Hamker

Authors
  1. F. H. Hamker
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Editor information

Editors and Affiliations

  1. School of Psychology, University of Birmingham, Birmingham, B15 2TT, UK

    Dietmar Heinke PhD , Glynn W. Humphreys PhD  & Andrew Olson PhD ,  & 

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© 1999 Springer-Verlag London Limited

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Hamker, F.H. (1999). The role of feedback connections in task-driven visual search. In: Heinke, D., Humphreys, G.W., Olson, A. (eds) Connectionist Models in Cognitive Neuroscience. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0813-9_22

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  • DOI: https://doi.org/10.1007/978-1-4471-0813-9_22

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-052-1

  • Online ISBN: 978-1-4471-0813-9

  • eBook Packages: Springer Book Archive

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