BIROn - Birkbeck Institutional Research Online

Predictive coding as a model of biased competition in visual attention

Spratling, Michael (2008) Predictive coding as a model of biased competition in visual attention. Vision Research 48 (12), pp. 1391-1408. ISSN 0042-6989.

Full text not available from this repository.

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.

Metadata

Item Type: Article
Keyword(s) / Subject(s): Neural networks, cortical circuits, cortical feedback, attention, binding problem
School: Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
Depositing User: Administrator
Date Deposited: 01 Aug 2011 14:51
Last Modified: 02 Aug 2023 16:55
URI: https://eprints.bbk.ac.uk/id/eprint/3924

Statistics

6 month trend
0Downloads
6 month trend
249Hits

Additional statistics are available via IRStats2.

402 readers on Mendeley
3 readers on CiteULike

Archive Staff Only (login required)

Edit/View Item
Edit/View Item