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Counterfactual cognition and psychosis

Adding complexity to predictive processing accounts

Bibliographic Data

ID21591911
AuthorsSofiia Rappe (0000-0003-3343-7025, Ludwig-Maximilians-Universität München, corresponding author), Sam Wilkinson (0000-0001-7414-7505, Department of Sociology, Philosophy, and Anthropology, University of Exeter, Exeter, UK)
Year2023
Volume36
Issue2
Pages356-379
Publication date2023-02-17
Open AccessNo
TypeARTICLE
VenuePhilosophical Psychology (JOURNAL)
Journal identifiersISSN: 0951-5089 • E-ISSN: 1465-394X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09515089.2022.2054789
OpenAlexW4220945246
LanguageEN
Citations received1
References cited71

Over the last decade or so, several researchers have considered the predictive processing framework (PPF) to be a useful perspective from which to shed some much-needed light on the mechanisms behind psychosis. Most approaches to psychosis within PPF come down to the idea of the “atypical” brain generating inaccurate hypotheses that the “typical” brain does not generate, either due to a systematic top-down processing bias or more general precision weighting breakdown. Strong at explaining common individual symptoms of psychosis, such approaches face some issues when we look at a more general clinical picture. In this paper, we propose an update on the current accounts of psychosis based on the realization that a neurotypical brain constantly generates non-actual, de-coupled, counterfactual hypotheses as part of healthy cognition. We suggest that what is going on in psychosis, at least in some cases, is not so much a generation of erroneous hypotheses, but rather an inability to correctly use the counterfactual ones. This updated view casts “accurate” cognition as more fragile and delicate, but also closes the gap between psychosis and typical cognition

Cognition · Cognitive psychology · Counterfactual thinking · Developmental psychology · Neurotypical · Psychiatry · Psychosis · Theory of mind · Computer Science · Embodied and Extended Cognition · Mental Health and Psychiatry · Neuroscience · Psychology · Schizophrenia research and treatment · Social Psychology · Artificial Intelligence

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    Open Access•Sofiia Rappe, Markus Werning•Philosophical Psychology•2026

  • The free-energy principle

    Open Access•Karl J Friston, Karl Friston•Trends in Cognitive Sciences•2009

  • The Predictive Coding Account of Psychosis

    Open Access•Philipp Sterzer, Rick A Adams et al.•Biological Psychiatry•2018

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    Open Access•Anil K Seth•Trends in Cognitive Sciences•2013

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    Ruth M J Byrne•Annual Review of Psychology•2016

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    Open Access•Karl J Friston, Karl Friston•Nature Reviews Neuroscience•2010

  • The Predictive Mind

    Jakob Hohwy•Predictive Mind•2013

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    Open Access•Josef Parnas, Mads Gram Henriksen•Consciousness and Cognition•2016

  • The clear and not so clear signatures of perceptual reality in the Bayesian brain

    Open Access•Ophelia Deroy, Sofiia Rappe•Consciousness and Cognition•2022

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  • Accounting for the phenomenology and varieties of auditory verbal hallucination within a predictive processing framework

    Open Access•Sam Wilkinson•Consciousness and Cognition•2014

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    Open Access•Rick A Adams, Klaas Ε Stephan et al.•Frontiers in Psychiatry•2013

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    Jelle Bruineberg, Tom Froese•International Journal of…•2016

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    Open Access•M Miller, Andrew Clark et al.•Synthese•2018

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    Sander Van De Cruy, Kris Evers et al.•Psychological Review•2014

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    Marcia K Johnson, Michael K Johnson et al.•Psychological Bulletin•1993

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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