Titel
Explanatory power by vagueness. Challenges to the strong prior hypothesis on hallucinations exemplified by the Charles-Bonnet-Syndrome
Autor*in
Abstract
Predictive processing models are often ascribed a certain generality in conceptually unifying the relationships between perception, action, and cognition or the potential to posit a ‘grand unified theory’ of the mind. The limitations of this unification can be seen when these models are applied to specific cognitive phenomena or phenomenal consciousness. Our article discusses these shortcomings for predictive processing models of hallucinations by the example of the Charles-Bonnet-Syndrome. This case study shows that the current predictive processing account omits essential characteristics of stimulus-independent perception in general, which has critical phenomenological implications. We argue that the most popular predictive processing model of hallucinatory conditions – the strong prior hypothesis – fails to fully account for the characteristics of nonveridical perceptual experiences associated with Charles-Bonnet-Syndrome. To fill this explanatory gap, we propose that the strong prior hypothesis needs to include reality monitoring to apply to more than just veridical percepts.
Stichwort
Charles-Bonnet-SyndromePseudohallucinationsHallucinationsStimulus-independent perceptionPredictive processingStrong priorsReality monitoringVeridicality
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
phaidra.univie.ac.at/o:2045049
Erschienen in
Titel
Consciousness and Cognition
Band
117
ISSN
1053-8100
Erscheinungsdatum
2024
Publication
Elsevier BV
Fördergeber
Europäische Union (alle Programme) — 818772
Erscheinungsdatum
2024
Zugänglichkeit
Rechte
Rechteangabe
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