Hallucinations as top-down effects on perception.
Albert R. Powers, Megan S Kelley, Philip R. Corlett
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging September 1, 2016 DOI: 10.1016/j.bpsc.2016.04.003 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Review Peer reviewed |
|---|---|
| Keywords | Connectivity Neuropsychology Hallucinations Psychosis Modularity Neuroimaging Predictive coding |
| Key findings | Argues that top-down cognitive influences on perception are supported by predictive coding and computational neuroimaging evidence, and proposes that hallucinations arise from inappropriate perceptual priors acting as top-down effects on perception, with implications for understanding mental illness. |
Abstract
The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a 'top-down' manner by higher-level cognition-a natural extension of hierarchical models of perception-may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process. We review the evidence for and against top-down influences in perception, informed by a predictive coding model of perception and drawing heavily upon the literature of computational neuroimaging. We extend these findings to propose a way in which these processes may be altered in mental illness. We propose that hallucinations - perceptions without stimulus - can be understood as top-down effects on perception, mediated by inappropriate perceptual priors.
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Cites 16
- An Interoceptive Predictive Coding Model of Conscious Presence Frontiers in Psychology 2012
- The default-mode, ego-functions and free-energy: a neurobiological account of Freudian ideas Brain February 28, 2010
- From drugs to deprivation: a Bayesian framework for understanding models of psychosis Psychopharmacology May 27, 2009
- A predictive processing theory of sensorimotor contingencies: Explaining the puzzle of perceptual presence and its absence in synesthesia Cognitive Neuroscience January 21, 2014
- Studying auditory verbal hallucinations using the RDoC framework. Psychophysiology March 1, 2016
and 11 more in the library