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Biological Cybernetics

, Volume 88, Issue 5, pp 409–417 | Cite as

Internal models for visual perception

  • Wolfram Erlhagen

Abstract.

 Although the extrapolation of past perceptual history into the immediate and distant future is a fundamental phenomenon in everyday life, the underlying processing mechanisms are not well understood. A network model consisting of interacting excitatory and inhibitory cell populations coding for stimulus position is used to study the neuronal population response to a continuously moving stimulus. An adaptation mechanism is proposed that offers the possibility to control and modulate motion-induced extrapolation without changing the spatial interaction structure within the network. Using an occluder paradigm, functional advantages of an internally generated model of a moving stimulus are discussed. It is shown that the integration of such a model in processing leads to a faster and more reliable recognition of the input stream and allows for object permanence following occlusion. The modeling results are discussed in relation to recent experimental findings that show motion-induced extrapolation.

Keywords

Internal Model Interaction Structure Adaptation Mechanism Spatial Interaction Inhibitory Cell 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Wolfram Erlhagen
    • 1
  1. 1.Departamento de Matemática, Universidade do Minho – Campus de Azurém, 4800-058 Guimarães, PortugalPT

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