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Reconciling predictive coding and biased competition models of cortical function

Spratling, Michael (2008) Reconciling predictive coding and biased competition models of cortical function. Frontiers in Computational Neuroscience 2 (4), ISSN 1662-5188.

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Official URL: http://dx.doi.org/10.3389/neuro.10.004.2008

Abstract

A simple variation of the standard biased competition model is shown, via some trivial mathematical manipulations, to be identical to predictive coding. Specifically, it is shown that a particular implementation of the biased competition model, in which nodes compete via inhibition that targets the inputs to a cortical region, is mathematically equivalent to the linear predictive coding model. This observation demonstrates that these two important and influential rival theories of cortical function are minor variations on the same underlying mathematical model.

Item Type: Article
Additional Information: This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.
Keyword(s) / Subject(s): neural networks, cortical circuits, cortical feedback, biased competition, predictive coding
School or Research Centre: Birkbeck Schools and Research Centres > School of Science > Psychological Sciences
Depositing User: Sarah Hall
Date Deposited: 22 Jun 2012 07:03
Last Modified: 17 Apr 2013 12:33
URI: http://eprints.bbk.ac.uk/id/eprint/4773

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