Predictive processing as an empirical theory for consciousness science

Seth, Anil K and Hohwy, Jakob (2021) Predictive processing as an empirical theory for consciousness science. Cognitive Neuroscience, 12 (2). pp. 89-90. ISSN 1758-8928

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Abstract

The theories of consciousness discussed by Doerig and colleagues tend to monolithically identify consciousness with some other phenomenon, process, or mechanism. But by treating consciousness as singular explanatory target, such theories will struggle to account for the diverse properties that conscious experiences exhibit. We propose that progress in consciousness science will best be achieved by elaborating systematic mappings between physical and biological mechanisms, and the functional and (crucially) phenomenological properties of consciousness. This means we need theories for consciousness science, perhaps more so than theories of consciousness. From this perspective, ‘predictive processing’ emerges as a highly promising candidate.

Item Type: Article
Keywords: Predictive processing, explanatory correlate, neural correlates of consciousness
Schools and Departments: School of Engineering and Informatics > Informatics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 21 Sep 2021 08:03
Last Modified: 07 Dec 2021 02:00
URI: http://sro.sussex.ac.uk/id/eprint/101799

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