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A feedback model of perceptual learning and categorisation

Authors
Publication Date
Keywords
  • Neural Modelling
  • Neural Nets
  • Perceptual Cognitive Psychology
Disciplines
  • Computer Science

Abstract

Top-down, feedback, influences are known to have significant effects on visual information processing. Such influences are also likely to affect perceptual learning. This article employs a computational model of the cortical region interactions underlying visual perception to investigate possible influences of top-down information on learning. The results suggest that feedback could bias the way in which perceptual stimuli are categorised and could also facilitate the learning of sub-ordinate level representations suitable for object identification and perceptual expertise.

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