Predictive coding as a model of cognition.
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.
Department of Informatics, King's College London, Strand, London, WC2R 2LS, UK. michael.spratling@kcl.ac.uk.
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MW
Spratling
D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation; D003210:Concept Formation / Q000502:physiology; D006801:Humans; D019359:Knowledge; D007802:Language; D008959:Models, Neurological; D059906:Neuroimaging; D010465:Perception / Q000502:physiology*; D011237:Predictive Value of Tests
Behavioural control; Categorisation; Cognition; Naive physics; Perception; Reading; Reasoning; Word-superiority effect