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Cognitive Processing

, Volume 17, Issue 3, pp 279–305 | Cite as

Predictive coding as a model of cognition

  • M. W. Spratling
Research Report

Abstract

Previous work has shown that predictive coding can provide a detailed explanation of a very wide range of low-level perceptual processes. It is also widely believed that predictive coding can account for high-level, cognitive, abilities. This article provides support for this view by showing that predictive coding can simulate phenomena such as categorisation, the influence of abstract knowledge on perception, recall and reasoning about conceptual knowledge, context-dependent behavioural control, and naive physics. The particular implementation of predictive coding used here (PC/BC-DIM) has previously been used to simulate low-level perceptual behaviour and the neural mechanisms that underlie them. This algorithm thus provides a single framework for modelling both perceptual and cognitive brain function.

Keywords

Perception Cognition Categorisation Reading Word-superiority effect Reasoning Behavioural control Naive physics 

Notes

Acknowledgments

Thanks to the organisers of, and the participants at, the Lorentz Centre Workshop on Perspectives on Human Probabilistic Inference (May 2014) for discussions that inspired this work. Additional thanks to Bill Phillips for helpful comments on an earlier draft of this paper.

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Copyright information

© Marta Olivetti Belardinelli and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of InformaticsKing’s College LondonStrand, LondonUK

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