Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia
Open accessAbstract
Hallucinations and delusions are striking features of schizophrenia that have been difficult to explain. Fletcher and Frith discuss cognitive theories of the positive symptoms of schizophrenia and describe how abnormalities in error-dependent learning could underlie both hallucinations and delusions. Advances in cognitive neuroscience offer us new ways to understand the symptoms of mental illness by uniting basic neurochemical and neurophysiological observations with the conscious experiences that characterize these symptoms. Cognitive theories about the positive symptoms of schizophrenia — hallucinations and delusions — have tended to treat perception and belief formation as distinct processes. However, recent advances in computational neuroscience have led us to consider the unusual perceptual experiences of patients and their sometimes bizarre beliefs as part of the same core abnormality — a disturbance in error-dependent updating of inferences and beliefs about the world. We suggest that it is possible to understand these symptoms in terms of a disturbed hierarchical Bayesian framework, without recourse to separate considerations of experience and belief.
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In psychosis, false perceptions (hallucinations) and false beliefs (delusions) may arise from reshaping of top-down predictions in attempts to suppress aberrant and persistent exteroceptive prediction errors.
“In psychosis, false perceptions (hallucinations) and false beliefs (delusions) may arise from reshaping of top-down predictions in attempts to suppress aberrant and persistent (exteroceptive) prediction errors [78].”
From Interoceptive inference, emotion, and the embodied self (2013) · cites this paper as [78]
The 'A hierarchy of prediction and model building' section says false prediction errors drive higher levels to adjust their models, while the Conclusions link disrupted inference to both false perceptions and false beliefs (page numbers unavailable). The claim's restriction to exteroceptive errors is not supported: the paper also discusses prediction errors involving internally generated speech and actions. (LLM, conf=0.84)
Experimental — accuracy not yet measuredDelusions may arise as rational (Bayes-optimal) posterior beliefs that explain away precise sensory prediction errors.
“they could arise as rational (Bayes-optimal) posterior beliefs that explain away precise sensory prediction errors: e.g., Fletcher and Frith (2009).”
From The Computational Anatomy of Psychosis (2013) · cites this paper as Fletcher and Frith, 2009
In “A hierarchy of prediction and model building” (page unavailable), the paper proposes that false prediction errors drive revisions of higher-level beliefs that can contribute to delusions. “From disrupted neurochemistry to beliefs” says errors given undue weight can lead to false inference. It does not characterize the resulting beliefs as Bayes-optimal, and says the revisions cannot fully resolve the false errors, rather than successfully explaining them away. (LLM, conf=0.84)
Experimental — accuracy not yet measuredDisturbances in sensed agency arise not simply from predictive mismatches, but from pathologically imprecise predictions about the sensory consequences of action.
“Following previous models (Fletcher and Frith, 2009; Synofzik et al., 2010), disturbances in sensed agency arise not simply from predictive mismatches, but from pathologically imprecise predictions about the sensory consequences of action.”
From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as Fletcher and Frith, 2009
In “The physiological basis of positive symptoms” and “Efference copy” (pages unavailable), the paper links disturbed experience of self-generated actions to failures to predict and attenuate their sensory consequences. “From disrupted neurochemistry to beliefs” says the problem may lie not in prediction errors alone but in how their precision is estimated and used. It discusses the precision of prediction errors, however, rather than specifically attributing disturbed agency to pathologically imprecise predictions of action consequences. (LLM, conf=0.86)
Experimental — accuracy not yet measuredFletcher and Frith propose that, for positive symptoms in psychoses, a Bayesian perspective can accommodate hallucinations and delusions within a common framework.
“Fletcher and Frith (2009) propose that, for positive symptoms in psychoses, a Bayesian perspective can accommodate hallucinations and delusions within a common framework”
From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as Fletcher and Frith, 2009
The Conclusions propose a common Bayesian inference mechanism for hallucinations and delusions, supporting the central claim. The Abstract confines the review’s proposal to positive symptoms of schizophrenia, so the broader wording “in psychoses” is not established by this source. (LLM, conf=0.83)
Experimental — accuracy not yet measuredPsychosis has been related to a decreased precision of prior beliefs and/or increased precision of sensory data.
“Psychosis has been related to a decreased precision of prior beliefs and/or increased precision of sensory data (13, 24, 58–61).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [58]
In “From disrupted neurochemistry to beliefs” (page unavailable), the review links psychotic inference to abnormal precision-weighting of prediction errors: even a small error may receive undue weight. This supports the increased-weight sensory-evidence side of the claim, but the passage does not specifically say that the precision of prior beliefs is decreased. (LLM, conf=0.82)
Experimental — accuracy not yet measured
According to predictive coding, reduced precision of priors could potentially account for both perceptual and cognitive factors in the genesis of some delusions.
“According to predictive coding, reduced precision of priors could potentially account for both factors, given it would alter perceptual inference and make cognitive explanations for altered percepts less constrained (58).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [58]
The Conclusions and the passage on noisy prediction-error signals link disrupted inference to both altered perceptions and delusional explanations. But “From disrupted neurochemistry to beliefs” discusses abnormal precision of prediction errors, not reduced precision of priors; the specific mechanism attributed to the paper is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe emergence of delusions might result from decreased precision of priors.
“In contrast, the emergence of delusions might result from decreased precision of priors as outlined above (24, 58, 59) (Fig. 1B).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [58]
The sections ‘From disrupted neurochemistry to beliefs’ and ‘A hierarchy of prediction and model building’ link delusion formation to faulty prediction-error weighting and a resulting discounting of existing models. They do not identify decreased precision of priors as the cause; the precision discussed is that of prediction errors. The indexed passages provide no page numbers. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe process of false prediction errors leading to deep revisions is self-entrenching; false perceptions and bizarre beliefs form an epistemically insulated self-confirming cycle.
“Such a process is self-entrenching. As new generative models take hold, their in fl uence fl ows back down so that incoming data is sculpted by the new (but now badly misinformed) priors so as to ' conform to expectancies ' (Fletcher & Frith 2009, p. 348). False perceptions and bizarre beliefs thus form an epistemically insulated self-con fi rming cycle.”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Fletcher & Frith 2009
In “A hierarchy of prediction and model building” (page unavailable), the paper says false prediction errors drive revisions of increasingly high-level models. Its discussion of abnormal beliefs says deluded patients can resist counterevidence, and the Conclusions describe expectations influencing perception. These passages support parts of the proposed mechanism, but the copy does not state that false perceptions and bizarre beliefs form a self-confirming cycle; it also describes the altered process as “still self correcting.” (LLM, conf=0.78)
Experimental — accuracy not yet measuredRecent theories have hypothesised that precision weighting of cortical unsigned prediction errors is mediated by neuromodulators (including dopamine), and link a malfunctioning dopamine system to psychosis through aberrant precision-weighting of these prediction errors.
“Recent theories [3, 4, 6, 9, 28] have hypothesised that precision weighting of cortical unsigned prediction errors is mediated by neuromodulators (including dopamine), and link a malfunctioning dopamine system to psychosis through aberrant precision-weighting of these prediction errors.”
From Precision weighting of cortical unsigned prediction error signals benefits learning, is mediated by dopamine, and is impaired in psychosis (2021) · cites this paper as [9]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredIn their account, a shift from hallucination to delusion reflects readjustment of top-down predictions within successively higher levels of cortical hierarchies, in successive attempts to explain away residual prediction errors.
“In their compelling account, a shift from hallucination to delusion reflects readjustment of top-down predictions within successively higher levels of cortical hierarchies, in successive attempts to explain away residual prediction errors”
From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as Fletcher and Frith, 2009
Aberrant encoding of precision could lead to an abnormally strong weighting of prediction error, which in turn leads to aberrant learning and the formation of delusional beliefs.
“The resulting aberrant encoding of precision could lead to an abnormally strong weighting of PE, which in turn leads to aberrant learning and the formation of delusional beliefs (53, 58, 59, 64).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [58]
Malfunctions in the prediction error economy yield persistent and highly weighted false errors that propagate up the hierarchy, forcing deep revisions in the model of the world.
“The suggestion (Corlett et al. 2009a; 2009b; Fletcher & Frith 2009) is that malfunctions within that complex economy (perhaps fundamentally rooted in abnormal dopaminergic functioning) yield wave upon wave of persistent and highly weighted ' false errors ' that then propagate all the way up the hierarchy forcing, in severe cases (via the ensuing waves of neural plasticity) extremely deep re”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Fletcher & Frith 2009
Understanding the positive symptoms of schizophrenia requires understanding disturbances in the generation and weighting of prediction error.
“The key idea, however implemented, is that understanding the positive symptoms of schizophrenia requires understanding disturbances in the generation and weighting of prediction error.”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Fletcher & Frith 2009
Positive symptoms (hallucinations and delusions) in schizophrenia can be accounted for as false inference.
“from false inference as an account of positive symptoms (hallucinations and delusions) in schizophrenia [73]”
From Active interoceptive inference and the emotional brain (2016) · cites this paper as [73]
Neurodevelopmental disorders such as autism spectrum disorder and schizophrenia have been linked to an atypical integration of prior and incoming information.
“neurodevelopmental disorders such as autism spectrum disorder [132,133] and schizophrenia [134,135] have been linked to an atypical integration of prior and incoming information”
From How Do Expectations Shape Perception? (2018) · cites this paper as [134]
Many researchers have assumed that mental states can be orderly or disorderly and have fruitfully pursued predictive coding in the context of psychopathology.
“Many have assumed that this must be so – and indeed have fruitfully pursued predictive coding in this context (Fletcher and Frith, 2009; Edwards et al., 2012; Adams et al., 2013b; Hohwy, 2013).”
From Virtual reality and consciousness inference in dreaming (2014) · cites this paper as Fletcher and Frith, 2009
If Bayesian-based explanations of psychiatric disorders fail to predict symptom patterns, treatment outcomes, or neural correlates in out-of-sample datasets, the theory's applied value diminishes.
“If Bayesian-based explanations of psychiatric disorders (e.g., schizophrenia as altered precision weighting) fail to predict symptom patterns, treatment outcomes, or neural correlates in out-of-sample datasets, the theory’s applied value diminishes (Fletcher and Frith 2009).”
From The myth of the Bayesian brain (2025) · cites this paper as Fletcher and Frith 2009
The ‘Prediction error, learning and dopamine’ section says that future work must link experimental learning abnormalities to clinical delusions, and the Conclusions identify further questions for the model. Neither passage addresses whether failure to predict symptoms, treatment outcomes, or neural correlates in out-of-sample datasets diminishes the theory’s applied value; searches for those validation criteria found no such passage. (LLM, conf=0.70)
Experimental — accuracy not yet measuredSimilar Bayesian theories have previously been stated in the context of schizophrenia.
“It is of interest to note that similar Bayesian theories have previously been stated in the context of schizophrenia (63, 68, 89–92).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [90]
This model and variants thereof have already found widespread application to other psychiatric disorders with perceptual aberrations, in particular schizophrenia.
“This model, and variants thereof, has already found widespread application to other psychiatric disorders with perceptual aberrations, in particular schizophrenia (63, 89, 90, 92, 107).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [90]
A single core disturbance relating to the balance between bottom-up and top-down processing can explain both the hallucinatory experiences and the bizarre delusional beliefs of psychotic patients.
“For instance, it has been hypothesized that a single core disturbance relating to the balance between bottom-up and top-down processing can explain both the hallucinatory experiences and the bizarre delusional beliefs of psychotic patients (8,11).”
From Shift toward prior knowledge confers a perceptual advantage in early psychosis and psychosis-prone healthy individuals (2015) · cites this paper as [8]
Patients with schizophrenia have deficits in probabilistic reasoning that affect their beliefs.
“In a review and synthesis of the literature “Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia”, Fletcher and Frith suggest that patients have deficits in probabilistic reasoning that affect their beliefs (Fletcher & Frith, 2009).”
From Anticipating the future: Automatic prediction failures in schizophrenia (2012) · cites this paper as Fletcher & Frith, 2009
A normally functioning mechanism that updates context with new information is critical for accurate perception and inference.
“They suggested that a normally functioning mechanism that updates context with new information is critical for accurate perception and inference.”
From Anticipating the future: Automatic prediction failures in schizophrenia (2012) · cites this paper as Fletcher & Frith, 2009
Disruption of the context-updating mechanism may result in the persistence of false beliefs (delusions) in the face of incontrovertible evidence.
“Disruption of this mechanism may result in the persistence of false beliefs in the face of incontrovertible evidence to the contrary (delusions).”
From Anticipating the future: Automatic prediction failures in schizophrenia (2012) · cites this paper as Fletcher & Frith, 2009
Psychosis is linked to increased prediction error signaling, which in turn leads to aberrant salience and the formation of delusions.
“It has been proposed that psychosis is linked to increased prediction error signaling 122 which in turn leads to aberrant salience and the formation of delusions, as proposed earlier.123,124,[130][131][132]”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [124]
Disrupted predictive coding has been invoked as a mechanism underlying hallucinations.
“Disrupted predictive coding has also been invoked as a mechanism underlying hallucinations per se.122-124”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [124]
Recent theories propose that hallucinations could be due to altered inference mechanisms.
“Recent theories propose that hallucinations could be due to altered inference mechanisms.[122][123][124]”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [124]
Others have linked hallucinations to a failure to attenuate the sensory consequences of inner speech, analogous to the mechanism thought to underlie delusions of control.
“Others have linked hallucinations to a failure to attenuate the sensory consequences of inner speech, in analogy to the mechanism that is thought to underlie delusions of control.42,124,135”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [124]
A growing field of theoretical and experimental approaches relates psychotic features such as hallucinations and delusions to a general disruption in the inferential process.
“A growing field of theoretical and experimental approaches have related psychotic features, such as hallucinations and delusions, to a general disruption in the inferential process (Friston, 2005b; Fletcher and Frith, 2008; Schmack et al., 2013).”
From What visual illusions teach us about schizophrenia (2014) · cites this paper as Fletcher and Frith, 2008
Over-trusted sensory signals become over-salient and unpredictable; they could be transmitted up the hierarchy, but no adjustments could fully resolve the aberrancy.
“Artificially over-trusted, sensory signals become over-salient and unpredictable. They could be transmitted up the hierarchy, but no adjustments could fully resolve the aberrancy (Fletcher and Frith, 2008).”
From What visual illusions teach us about schizophrenia (2014) · cites this paper as Fletcher and Frith, 2008
Hallucinations and delusions are two sides of the same coin.
“This assumption is in line with the idea that hallucinations and delusions are two sides of a same coin (Fletcher and Frith, 2008).”
From What visual illusions teach us about schizophrenia (2014) · cites this paper as Fletcher and Frith, 2008
Schizophrenia involves bizarre pathognomonic clinical symptoms such as passivity experiences, auditory hallucinations, and delusions of reference.
“Third, the theory must account for the mechanism that gives rise to such bizarre yet pathognomonic clinical symptoms as passivity experiences, auditory hallucinations, and delusions of reference.”
From Schizophrenia, myelination, and delayed corollary discharges: a hypothesis (2012) · cites this paper as [9]
Feinberg and Frith first developed the idea that passivity experiences and certain auditory hallucinations could be explained by efference copy/corollary discharge abnormalities disrupting patients' ability to distinguish between internally and externally generated events.
“Feinberg 8 and Frith 9 first developed the idea that many of the most distinctive symptoms of schizophrenia-most notably the passivity experiences and certain types of auditory hallucinations-could be explained by efference copy/corollary discharge abnormalities disrupting patients' ability to distinguish between internally and externally generated events.”
From Schizophrenia, myelination, and delayed corollary discharges: a hypothesis (2012) · cites this paper as [9]
This delayed suppression results in confusion as to the origins of actions, hence passivity experiences for willed motor actions and auditory hallucinations for willed cognitions.
“This, in turn, results in confusion as to the origins of these actions and hence passivity experiences in the case of willed motor actions and auditory hallucinations in the case of willed cognitions.8,9”
From Schizophrenia, myelination, and delayed corollary discharges: a hypothesis (2012) · cites this paper as [9]
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References 117 · Cited by 1,462
- Authors
- Fletcher, P. C., & Frith, C. D.
- Affiliations
- University of Cambridge (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Frith, Chris D.
- Venue
- Nature Reviews Neuroscience
- Published
- 2008-12-03
- Volume
- 10
- Issue
- 1
- Pages
- 48-58
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2070461647
- Cited by
- 1,462
- References
- 117
- Citations by year
- 2026: 93 · 2025: 92 · 2024: 93 · 2023: 100 · 2022: 102 · 2021: 90 · 2020: 91 · 2019: 111 · 2018: 100 · 2017: 102 · 2016: 87 · 2015: 83 · 2014: 71 · 2013: 70 · 2012: 47
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- green
- pure.au.dk
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (064351)
- National Research Foundation
- Danmarks Grundforskningsfond
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
- Keywords
- schizophrenia, positive symptoms, hallucinations, delusions, Bayesian inference, Bayesian hierarchical model, belief updating, perception, computational neuroscience
- MeSH terms
- Bayes Theorem, Brain, Cognition, Humans, Models, Neurological, Perception, Schizophrenia, Schizophrenic Psychology
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