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• W2955990109 endingPage "146313" @default.
• W2955990109 startingPage "146313" @default.
• W2955990109 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." @default.
• W2955990109 created "2019-07-12" @default.
• W2955990109 creator A5069783230 @default.
• W2955990109 date "2019-10-01" @default.
• W2955990109 modified "2023-10-14" @default.
• W2955990109 title "Fitting predictive coding to the neurophysiological data" @default.
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• W2955990109 doi "https://doi.org/10.1016/j.brainres.2019.146313" @default.
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• W2955990109 hasPublicationYear "2019" @default.
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