An interoceptive predictive coding model of conscious presence

Seth, Anil K, Suzuki, Keisuke and Critchley, Hugo D (2012) An interoceptive predictive coding model of conscious presence. Frontiers in Psychology, 2. p. 395. ISSN 1664-1078

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Abstract

We describe a theoretical model of the neurocognitive mechanisms underlying conscious presence and its disturbances. The model is based on interoceptive prediction error and is informed by predictive models of agency, general models of hierarchical predictive coding and dopaminergic signaling in cortex, the role of the anterior insular cortex (AIC) in interoception and emotion, and cognitive neuroscience evidence from studies of virtual reality and of psychiatric disorders of presence, specifically depersonalization/derealization disorder. The model associates presence with successful suppression by top-down predictions of informative interoceptive signals evoked by autonomic control signals and, indirectly, by visceral responses to afferent sensory signals. The model connects presence to agency by allowing that predicted interoceptive signals will depend on whether afferent sensory signals are determined, by a parallel predictive-coding mechanism, to be self-generated or externally caused. Anatomically, we identify the AIC as the likely locus of key neural comparator mechanisms. Our model integrates a broad range of previously disparate evidence, makes predictions for conjoint manipulations of agency and presence, offers a new view of emotion as interoceptive inference, and represents a step toward a mechanistic account of a fundamental phenomenological property of consciousness.

Item Type: Article
Keywords: presence; consciousness; depersonalization disorder; agency; interoception; insular cortex; virtual reality; predictive coding
Schools and Departments: School of Engineering and Informatics > Informatics
Brighton and Sussex Medical School > Neuroscience
Subjects: Q Science > QZ Psychology
Depositing User: Anil Seth
Date Deposited: 24 Sep 2012 11:31
Last Modified: 26 Sep 2017 10:56
URI: http://srodev.sussex.ac.uk/id/eprint/40570

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