CUED Publications database

With or without you: predictive coding and Bayesian inference in the brain

Lengyel, M and Aitchison, L (2017) With or without you: predictive coding and Bayesian inference in the brain. Current Opinion in Neurobiology, 46. pp. 219-227.

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Abstract

Two theoretical ideas have emerged recently with the ambition to provide a unifying functional explanation of neural population coding and dynamics: predictive coding and Bayesian inference. Here, we describe the two theories and their combination into a single framework: Bayesian predictive coding. We clarify how the two theories can be distinguished, despite sharing core computational concepts and addressing an overlapping set of empirical phenomena. We argue that predictive coding is an algorithmic / representational motif that can serve several different computational goals of which Bayesian inference is but one. Conversely, while Bayesian inference can utilize predictive coding, it can also be realized by a variety of other representations. We critically evaluate the experimental evidence supporting Bayesian predictive coding and discuss how to test it more directly.

Item Type: Article
Uncontrolled Keywords: Algorithms Animals Bayes Theorem Brain Computer Simulation Humans Models, Neurological
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 21 Sep 2017 01:28
Last Modified: 20 Apr 2021 01:46
DOI: