title: A feedback model of perceptual learning and categorisation
creator: Spratling, Michael W
creator: Johnson, Mark H
subject: Neural Modelling
subject: Neural Nets
subject: Perceptual Cognitive Psychology
description: 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. 
date: 2006
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/4885/1/vis_cog06.pdf
identifier:   Spratling, Michael W and Johnson, Mark H  (2006) A feedback model of perceptual learning and categorisation.  [Journal (Paginated)]     
relation: http://cogprints.org/4885/