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Predictive Coding as a Model of Biased Competition in Visual Attention

Spratling, Michael W (2008) Predictive Coding as a Model of Biased Competition in Visual Attention. [Journal (Paginated)]

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Abstract

Attention acts, through cortical feedback pathways, to enhance the response of cells encoding expected or predicted information. Such observations are inconsistent with the predictive coding theory of cortical function which proposes that feedback acts to suppress information predicted by higher-level cortical regions. Despite this discrepancy, this article demonstrates that the predictive coding model can be used to simulate a number of the effects of attention. This is achieved via a simple mathematical rearrangement of the predictive coding model, which allows it to be interpreted as a form of biased competition model. Nonlinear extensions to the model are proposed that enable it to explain a wider range of data.

Item Type:Journal (Paginated)
Keywords:neural networks; cortical circuits; cortical feedback; attention; binding problem
Subjects:Neuroscience > Neural Modelling
Neuroscience > Computational Neuroscience
Psychology > Perceptual Cognitive Psychology
Computer Science > Neural Nets
ID Code:6354
Deposited By:Spratling, Dr Michael
Deposited On:13 Feb 2009 01:12
Last Modified:11 Mar 2011 08:57

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