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Reconciling Predictive Coding and Biased Competition Models of Cortical Function

Spratling, Michael W (2008) Reconciling Predictive Coding and Biased Competition Models of Cortical Function. [Journal (On-line/Unpaginated)]

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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:Journal (On-line/Unpaginated)
Keywords:neural networks; cortical circuits; cortical feedback; biased competition; predictive coding
Subjects:Neuroscience > Neural Modelling
Neuroscience > Computational Neuroscience
Psychology > Perceptual Cognitive Psychology
Computer Science > Neural Nets
ID Code:6353
Deposited By:Spratling, Dr Michael
Deposited On:13 Feb 2009 01:12
Last Modified:11 Mar 2011 08:57

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