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Related Experiment Videos

Feature processing and attention in the human visual system: an overview

D J Heslenfeld1, J L Kenemans, A Kok

  • 1Department of Psychonomics, University of Amsterdam, The Netherlands. dirk@psy.uva.nl

Biological Psychology
|March 21, 1997
PubMed
Summary
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Neurocognitive models of visual selective attention use primate visual system principles. Attention acts as an energy resource, with spatial attention modulating feature-specific pathways, but nonspatial attention does not.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Neuroscience

Background:

  • Cognitive models of visual selective attention are increasingly incorporating principles from primate visual neuroanatomy and neurophysiology.
  • These neurocognitive models view attention as an energetic resource that can be directed within the visual system.

Purpose of the Study:

  • To describe recent neurocognitive models of visual selective attention.
  • To detail the underlying neurobiological principles of these models.
  • To test the 'energy hypothesis' of attention using electrophysiological data.

Main Methods:

  • Review and description of neurocognitive models of visual selective attention.
  • Specification of predictions derived from the 'energy hypothesis'.

Related Experiment Videos

  • Analysis of electrophysiological data to test attention's modulation of feature-specific representations.
  • Main Results:

    • Sustained spatial attention aligns with the hypothesis that attention modulates feature-specific representations.
    • Nonspatial attention does not show evidence of modulating feature-specific pathways.
    • Attention is consistently implemented as a directed energetic resource.

    Conclusions:

    • The 'energy hypothesis' is supported by data for sustained spatial attention.
    • Evidence for attention modulating feature-specific pathways is lacking for nonspatial attention.
    • Neurocognitive models provide a framework for understanding attention as an energetic resource in the visual system.