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Fitting Predictive Coding to the Neurophysiological Data

Research output: Contribution to journalArticle

Original languageEnglish
Article number146313
Pages (from-to)1-8
JournalBrain research
Volume1720
Early online date29 Jun 2019
DOIs
Publication statusPublished - 1 Oct 2019

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Abstract

Recent neurophysiological data showing the effects of locomotion on neural activity in mouse primary visual cortex has been interpreted as providing strong support for the predictive coding account of cortical function. Specifically, this work has been interpreted as providing direct evidence that prediction-error, a distinguishing property of predictive coding, is encoded in cortex. This article evaluates these claims and highlights some of the discrepancies between the proposed predictive coding model and the neuro-biology. Furthermore, it is shown that the model can be modified so as to fit the empirical data more successfully.

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