Circular inference: mistaken belief, misplaced trust

Pattern Recognition and Machine Learning

(2006) · doi:10.1007/978-0-387-45528-0 · Cited by 9,824 · see citing works

Canonical Microcircuits for Predictive Coding

Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421 · see citing works

Handbuch der physiologischen Optik

Cz., P. (1896) · Monatshefte für Mathematik · doi:10.1007/bf01708548 · Cited by 2,071 · see citing works

Handbuch der physiologischen Optik

Helmholtz, H. L. F. (2011) · DFG Viewer (DFG Viewer) · Cited by 1,947 · see citing works

Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans

Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., & Frith, C. D. (2006) · Nature · doi:10.1038/nature05051 · Cited by 1,584 · see citing works

Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia

Fletcher, P. C., & Frith, C. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2536 · Cited by 1,462 · see citing works

Bayesian inference with probabilistic population codes

Ma, W. J., Beck, J. M., Latham, P. E., & Pouget, A. (2006) · Nature Neuroscience · doi:10.1038/nn1790 · Cited by 1,457 · see citing works

Attention, uncertainty, and free-energy

Feldman, H., & Friston, K. J. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00215 · Cited by 1,365 · see citing works

Motion illusions as optimal percepts

Weiss, Y., Simoncelli, E. P., & Adelson, E. H. (2002) · Nature Neuroscience · doi:10.1038/nn0602-858 · Cited by 1,076 · see citing works

Hierarchical Models in the Brain

Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000211 · Cited by 952 · see citing works

The Computational Anatomy of Psychosis

Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · see citing works

Vision as Bayesian inference: analysis by synthesis?

Yuille, A., & Kersten, D. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.002 · Cited by 849 · see citing works

Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment

Berkes, P., Orbán, G., Lengyel, M., & Fiser, J. (2011) · Science · doi:10.1126/science.1195870 · Cited by 782 · see citing works

Attentional stimulus selection through selective synchronization between monkey visual areas

Bosman, C. A., Schoffelen, J.-M., Brunet, N., Oostenveld, R., Bastos, A. M., Womelsdorf, T., Rubehn, B., Stieglitz, T., De Weerd, P., & Fries, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.037 · Cited by 720 · see citing works

Instantaneous correlation of excitation and inhibition during ongoing and sensory-evoked activities

Okun, M., & Lampl, I. (2008) · Nature Neuroscience · doi:10.1038/nn.2105 · Cited by 701 · see citing works

Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness

Anticevic, A., Cole, M. W., Repovš, G., Murray, J. D., Brumbaugh, M. S., Winkler, A. M., Savić, A., Krystal, J. H., Pearlson, G. D., & Glahn, D. C. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht165 · Cited by 494 · see citing works

Efficient codes and balanced networks

Denève, S., & Machens, C. K. (2016) · Nature Neuroscience · doi:10.1038/nn.4243 · Cited by 471 · see citing works

Disrupted prediction-error signal in psychosis: Evidence for an associative account of delusions

Corlett, P. R., Murray, G. K., Honey, G. D., Aitken, M. R. F., Shanks, D. R., Robbins, T. W., Bullmore, E. T., Dickinson, A., & Fletcher, P. C. (2007) · Brain · doi:10.1093/brain/awm173 · Cited by 460 · see citing works

Hallucinations in Parkinson disease

Diederich, N. J., Fénelon, G., Stebbins, G., & Goetz, C. G. (2009) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.62 · Cited by 312 · see citing works

Striatal Prediction Error Modulates Cortical Coupling

den Ouden, H. E. M., Daunizeau, J., Roiser, J., Friston, K. J., & Stephan, K. E. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4458-09.2010 · Cited by 304 · see citing works

General Psychopathology

Wieck, H. H. (1964) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1964.tb134080.x · Cited by 291 · see citing works

Altered excitatory-inhibitory balance in the NMDA-hypofunction model of schizophrenia

Kehrer, C. (2008) · Frontiers in Molecular Neuroscience · doi:10.3389/neuro.02.006.2008 · Cited by 287 · see citing works

Computational approaches to psychiatry

Stephan, K. E., & Mathys, C. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.007 · Cited by 260 · see citing works

Linking microcircuit dysfunction to cognitive impairment: Effects of disinhibition associated with schizophrenia in a cortical working memory model

Murray, J. D., Anticevic, A., Gancsos, M., Ichinose, M., Corlett, P. R., Krystal, J. H., & Wang, X.-J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs370 · Cited by 255 · see citing works

Weak suppression of visual context in chronic schizophrenia

Dakin, S., Carlin, P., & Hemsley, D. (2005) · Current Biology · doi:10.1016/j.cub.2005.10.015 · Cited by 227 · see citing works

Inhibitory neurons in human cortical circuits: substrate for cognitive dysfunction in schizophrenia

Lewis, D. A. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.11.003 · Cited by 217 · see citing works

The importance of being hierarchical

Markov, N. T., & Kennedy, H. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.008 · Cited by 204 · see citing works

The contribution of hypersalience to the “jumping to conclusions” bias associated with delusions in schizophrenia

Speechley, W. J., Whitman, J. C., & Woodward, T. S. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.090025 · Cited by 202 · see citing works

Circular inferences in schizophrenia

Jardri, R., & Denève, S. (2013) · Brain · doi:10.1093/brain/awt257 · Cited by 201 · see citing works

Delusions and the role of beliefs in perceptual inference

Schmack, K., Gòmez-Carrillo de Castro, A., Rothkirch, M., Sekutowicz, M., Rössler, H., Haynes, J.-D., Heinz, A., Petrovic, P., & Sterzer, P. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1778-13.2013 · Cited by 198 · see citing works

Hallucinations and perceptual inference

Friston, K. J. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x05290131 · Cited by 196 · see citing works

Gaze direction controls response gain in primary visual-cortex neurons

Trotter, Y., & Celebrini, S. (1999) · Nature · doi:10.1038/18444 · Cited by 188 · see citing works

What visual illusions teach us about schizophrenia

Notredame, C.-E., Pins, D., Deneve, S., & Jardri, R. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00063 · Cited by 177 · see citing works

The Neurodynamic Organization of Modality-Dependent Hallucinations

Jardri, R., Thomas, P., Delmaire, C., Delion, P., & Pins, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs082 · Cited by 177 · see citing works

Deficits in predictive coding underlie hallucinations in schizophrenia

Horga, G., Schatz, K. C., Abi-Dargham, A., & Peterson, B. S. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0200-14.2014 · Cited by 176 · see citing works

Neural processing as causal inference

Lochmann, T., & Denève, S. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.018 · Cited by 160 · see citing works

Functional hierarchy underlies preferential connectivity disturbances in schizophrenia

Yang, G. J., Murray, J. D., Wang, X.-J., Glahn, D. C., Pearlson, G. D., Repovs, G., Krystal, J. H., & Anticevic, A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508436113 · Cited by 153 · see citing works

Why do delusions persist?

Corlett, P. R. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.012.2009 · Cited by 146 · see citing works

Bayesian modelling of Jumping-to-Conclusions bias in delusional patients

Moutoussis, M., Bentall, R. P., El-Deredy, W., & Dayan, P. (2011) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2010.548678 · Cited by 137 · see citing works

Probabilistic learning and inference in schizophrenia

Averbeck, B., Evans, S., Chouhan, V., Bristow, E., & Shergill, S. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2010.08.009 · Cited by 99 · see citing works

Deficits in sensory prediction are related to delusional ideation in healthy individuals

Teufel, C., Kingdon, A., Ingram, J. N., Wolpert, D. M., & Fletcher, P. C. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.10.024 · Cited by 71 · see citing works

An integrated network model of psychotic symptoms

Looijestijn, J., Blom, J. D., Aleman, A., Hoek, H. W., & Goekoop, R. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.016 · Cited by 55 · see citing works

Dynamic causal modelling of eye movements during pursuit: Confirming precision-encoding in V1 using MEG

Adams, R. A., Bauer, M., Pinotsis, D. A., & Friston, K. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.055 · Cited by 44 · see citing works

Excitatory-inhibitory balance : synapses, circuits, systems

Hensch, T. K., & Fagiolini, M. (2004) · Medical Entomology and Zoology · Cited by 22 · see citing works

Taming the shrewdness of neural function: methodological challenges in computational psychiatry

Dayan, P., Dolan, R. J., Friston, K. J., & Montague, P. R. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.09.009 · Cited by 9 · see citing works

The theory of constructed emotion: an active inference account of interoception and categorization

Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426 · see citing works

The theory of constructed emotion: an active inference account of interoception and categorization

Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 950 · see citing works

An active inference theory of allostasis and interoception in depression

Barrett, L. F., Quigley, K. S., & Hamilton, P. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0011 · Cited by 554 · see citing works

The sense of should: A biologically-based framework for modeling social pressure

Theriault, J. E., Young, L., & Barrett, L. F. (2021) · Physics of Life Reviews · doi:10.1016/j.plrev.2020.01.004 · Cited by 201 · see citing works

In the body's eye: the computational anatomy of interoceptive inference

Allen, M., Levy, A., Parr, T., & Friston, K. J. (2022) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1010490 · Cited by 185 · see citing works

Historical pitfalls and new directions in the neuroscience of emotion

Barrett, L. F., & Satpute, A. B. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.045 · Cited by 180 · see citing works

Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain?

Jardri, R., Hugdahl, K., Hughes, M., Brunelin, J., Waters, F., Alderson-Day, B., Smailes, D., Sterzer, P., Corlett, P. R., Leptourgos, P., et al. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw075 · Cited by 157 · see citing works

The Brain as an Efficient and Robust Adaptive Learner

Denève, S., Alemi, A., & Bourdoukan, R. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.016 · Cited by 140 · see citing works

Predictive processing, source monitoring, and psychosis

Griffin, J. D., & Fletcher, P. C. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045145 · Cited by 133 · see citing works

Experimental evidence for circular inference in schizophrenia

Jardri, R., Duverne, S., Litvinova, A. S., & Denève, S. (2017) · Nature Communications · doi:10.1038/ncomms14218 · Cited by 124 · see citing works

Concepts dissolve artificial boundaries in the study of emotion and cognition, uniting body, brain, and mind

Hoemann, K., & Barrett, L. F. (2018) · Cognition & Emotion · doi:10.1080/02699931.2018.1535428 · Cited by 111 · see citing works

Mixed emotions in the predictive brain

Hoemann, K., Gendron, M., & Barrett, L. F. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.05.013 · Cited by 108 · see citing works

Allostasis as a core feature of hierarchical gradients in the human brain

Katsumi, Y., Theriault, J. E., Quigley, K. S., & Barrett, L. F. (2022) · Network Neuroscience · doi:10.1162/netn_a_00240 · Cited by 88 · see citing works

Unification by Fiat: Arrested Development of Predictive Processing

Litwin, P., & Miłkowski, M. (2020) · Cognitive Science · doi:10.1111/cogs.12867 · Cited by 86 · see citing works

Laminar fMRI and computational theories of brain function

Stephan, K. E., Petzschner, F. H., Kasper, L., Bayer, J., Wellstein, K. V., Stefanics, G., Pruessmann, K. P., & Heinzle, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.001 · Cited by 82 · see citing works

Comprehensive review: Computational modelling of schizophrenia

Valton, V., Romaniuk, L., Steele, J. D., Lawrie, S. M., & Seriès, P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.08.022 · Cited by 76 · see citing works

Prediction and perception: Insights for (and from) tinnitus

Hullfish, J., Sedley, W., & Vanneste, S. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.04.008 · Cited by 68 · see citing works

Predictive coding and thought

Williams, D. (2020) · Synthese · doi:10.1007/s11229-018-1768-x · Cited by 63 · see citing works

Bodily Experience in Schizophrenia: Factors Underlying a Disturbed Sense of Body Ownership

Klaver, M., & Dijkerman, H. C. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00305 · Cited by 62 · see citing works

Hierarchical Bayesian models of delusion

Williams, D. (2018) · Consciousness and Cognition · doi:10.1016/j.concog.2018.03.003 · Cited by 62 · see citing works

Seeing What You Feel: Affect Drives Visual Perception of Structurally Neutral Faces

Siegel, E. H., Wormwood, J. B., Quigley, K. S., & Barrett, L. F. (2018) · Psychological Science · doi:10.1177/0956797617741718 · Cited by 59 · see citing works

Rethinking delusions: A selective review of delusion research through a computational lens

Ashinoff, B. K., Singletary, N. M., Baker, S. C., & Horga, G. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.01.023 · Cited by 56 · see citing works

A functional account of stimulation-based aerobic glycolysis and its role in interpreting BOLD signal intensity increases in neuroimaging experiments

Theriault, J. E., Shaffer, C., Dienel, G. A., Sander, C. Y. M., Hooker, J. M., Dickerson, B. C., Barrett, L. F., & Quigley, K. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105373 · Cited by 55 · see citing works

It’s not the thought that counts: Allostasis at the core of brain function

Theriault, J. E., Katsumi, Y., Reimann, H. M., Zhang, J., Deming, P., Dickerson, B. C., Quigley, K. S., & Barrett, L. F. (2025) · Neuron · doi:10.1016/j.neuron.2025.09.028 · Cited by 49 · see citing works

State representation in mental illness

Radulescu, A., & Niv, Y. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.03.011 · Cited by 33 · see citing works

Vegetarians’ and omnivores’ affective and physiological responses to images of food

Anderson, E., Wormwood, J. B., Barrett, L. F., & Quigley, K. S. (2018) · Food Quality and Preference · doi:10.1016/j.foodqual.2018.06.008 · Cited by 33 · see citing works

From Computation to the First-Person: Auditory-Verbal Hallucinations and Delusions of Thought Interference in Schizophrenia-Spectrum Psychoses

Humpston, C. S., Adams, R. A., Benrimoh, D. A., Broome, M. R., Corlett, P. R., Gerrans, P., Horga, G., Parr, T., Pienkos, E., Powers, A. R., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby073 · Cited by 30 · see citing works

Can circular inference relate the neuropathological and behavioral aspects of schizophrenia?

Leptourgos, P., Denève, S., & Jardri, R. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.012 · Cited by 28 · see citing works

Expectation Cues and False Percepts Generate Stimulus-Specific Activity in Distinct Layers of the Early Visual Cortex

Haarsma, J., Deveci, N., Corbin, N., Callaghan, M. F., & Kok, P. (2023) · The Journal of Neuroscience · doi:10.1523/jneurosci.0998-23.2023 · Cited by 26 · see citing works

Testable or bust: theoretical lessons for predictive processing

Miłkowski, M., & Litwin, P. (2022) · Synthese · doi:10.1007/s11229-022-03891-9 · Cited by 33 · see citing works

Pragmatism and the predictive mind

Williams, D. (2018) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-017-9556-5 · Cited by 22 · see citing works

A functional theory of bistable perception based on dynamical circular inference

Leptourgos, P., Bouttier, V., Jardri, R., & Denève, S. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008480 · Cited by 20 · see citing works

Computational models of the “active self” and its disturbances in schizophrenia

Möller, T. J., Georgie, Y. K., Schillaci, G., Voss, M., Hafner, V. V., & Kaltwasser, L. (2021) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103155 · Cited by 18 · see citing works

Theory of Mind network activity is associated with metaethical judgment: An item analysis

Theriault, J. E., Waytz, A. G., Heiphetz, L., & Young, L. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107475 · Cited by 16 · see citing works

Underlying delusion: Predictive processing, looping effects, and the personal/sub-personal distinction

Colombo, M., & Fabry, R. E. (2021) · Philosophical Psychology · doi:10.1080/09515089.2021.1914828 · Cited by 13 · see citing works

From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosisPreprint

Leptourgos, P., Bouttier, V., Denève, S., & Jardri, R. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104593 · Cited by 13 · see citing works

No increased circular inference in adults with high levels of autistic traits or autism

Chrysaitis, N. A., Jardri, R., Denève, S., & Seriès, P. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009006 · Cited by 11 · see citing works

Bridging perspectives - A review and synthesis of 53 theoretical models of delusions

Denecke, S., Schönig, S. N., Bott, A., Faße, J. L., & Lincoln, T. M. (2024) · Clinical Psychology Review · doi:10.1016/j.cpr.2024.102510 · Cited by 11 · see citing works

Circular inference predicts nonuniform overactivation and dysconnectivity in brain-wide connectomes

Bouttier, V., Duttagupta, S., Denève, S., & Jardri, R. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2020.12.045 · Cited by 11 · see citing works

How dopamine leads to hallucinations

Matamales, M. (2021) · Science · doi:10.1126/science.abh1310 · Cited by 9 · see citing works

Untitled work

Theriault (n.d.) · doi:10.31234/osf.io/pkzr8 · Cited by 51 · see citing works

Scruff: A Deep Probabilistic Cognitive Architecture for Predictive Processing

Pfeffer, A., & Lynn, S. K. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-99316-4_33 · Cited by 5 · see citing works

Conspiracy beliefs and perceptual inference in times of political uncertainty

Leclercq, S., Szaffarczyk, S., Leptourgos, P., Yger, P., Fakhri, A., Wathelet, M., Bouttier, V., Denève, S., & Jardri, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-59434-4 · Cited by 4 · see citing works

Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task

Derome, M., Kozhuharova, P., Diaconescu, A. O., Denève, S., Jardri, R., & Allen, P. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120280 · Cited by 4 · see citing works

Using machine learning to predict persecutory beliefs based on aetiological models of delusions identified in a systematic literature search

Denecke, S., Strakeljahn, F., Bott, A., & Lincoln, T. M. (2025) · Communications Psychology · doi:10.1038/s44271-025-00311-9 · Cited by 3 · see citing works

A normative approach to radicalization in social networks

Bouttier, V., Leclercq, S., Jardri, R., & Denève, S. (2024) · Journal of Computational Social Science · doi:10.1007/s42001-024-00267-6 · Cited by 3 · see citing works

Prospection does not imply predictive processing

Litwin, P., & Miłkowski, M. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x19002991 · Cited by 3 · see citing works

Hypersensitivity to passive voice hearing in hallucination proneness

Johnson, J. F., Belyk, M., Schwartze, M., Pinheiro, A., & Kotz, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.859731 · Cited by 2 · see citing works

Dynamical circular inference in the general population and the psychosis spectrum : insights from perceptual decision making

Leptourgos, P. (2018) · theses.fr (ABES) · doi:10.70675/dafacdb1z9072z4ec2z8cebz0ca09b93b7ce · Cited by 3 · see citing works

Refining mechanistic models of hallucinations for enhanced translatability

Buck, J., Iigaya, K., & Horga, G. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03773-x · Cited by 2 · see citing works

Morality and model coherence: A constructivist and biologically tractable account of moral motivation.

Theriault, J. E. (2023) · American Psychological Association eBooks · doi:10.1037/0000342-009 · Cited by 2 · see citing works

Beginning with biology: “Aspects of cognition” exist in the service of the brain's overall function as a resource-regulator

Theriault, J. E., Coleman, M. B., Feldman, M. J., Fridman, J., Sennesh, E., Barrett, L. F., & Quigley, K. S. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x19001705 · Cited by 2 · see citing works

Art Making in Schizophrenia: A Vision Science Perspective

Graham, D. J., & Silverstein, S. M. (2023) · Current clinical neurology · doi:10.1007/978-3-031-14724-1_5 · Cited by 1 · see citing works

Les décisions hâtives dans la schizophrénie sont fondées sur l’inférence circulaire

Jardri, R., & Denève, S. (2017) · médecine/sciences · doi:10.1051/medsci/20173311006 · Cited by 1 · see citing works

Introduction à la psychiatrie computationnelle

Beaumont, S., Dhôte, J., Vinckier, F., Palminteri, S., Wyart, V., Jardri, R., & Domenech, P. (2020) · HAL · doi:10.1016/s0246-1072(20)69595-5 · Cited by 1 · see citing works

Vegetarians’ and Omnivores’ Affective and Physiological Responses to FoodPreprint

Anderson, E., Wormwood, J. B., Barrett, L. F., & Quigley, K. S. (2017) · doi:10.31219/osf.io/p8cdq · Cited by 1 · see citing works

Predictive processing and source monitoringin the psychosis continuum

Humpston, C. S. (2017) · ORCA Online Research @Cardiff (Cardiff University)

Approches computationnelles de la schizophrénie

Jardri, R. (2018) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30344-9

No increased circular inference in autism or autistic traitsPreprint

Chrysaitis, N. A., Jardri, R., Denève, S., & Seriès, P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.28.441748

Morality and model-coherence: A constructivist and biologically tractable account of moral motivationPreprint

Theriault, J. E. (2022) · doi:10.31234/osf.io/42juc

A comprehensive study on the cognitive mechanisms and neural substrates of hallucination proneness

Johnson, J. F. (2022) · doi:10.26481/dis.20221101jj

Bridging Perspectives - A Review and Synthesis of 52 Theoretical Models of Delusions (Preprint)Preprint

Denecke, S., Schönig, S. N., Bott, A., Faße, J. L., & Lincoln, T. M. (2024) · doi:10.31234/osf.io/bc6a8

A computational neuroimaging account of impulsive premature decision-makingPreprint

Cole, D. M., Diaconescu, A. O., Mathys, C. D., Wentz, T., Nagy, Z., Seifritz, E., Quednow, B. B., & Rigoux, L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.18.699652

A Dual-Pathway Prediction Error Model of Schizophrenia Spectrum Disorders: Bridging NMDA Hypofunction and Dopaminergic HyperfunctionPreprint

Sato, S., Kato, T., & Toyoizumi, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.28.702194

Implicit Generative Modeling by Kernel Similarity Matching

Choudhary, S., Masset, P., & Ba, D. E. (2026) · Neural Computation · doi:10.1162/neco.a.1511

Perceptual multistability: a multifaceted window into brain dysfunctions.

Safavi, S., Rolland, D., Sterzer, P., Jardri, R., & Leptourgos, P. (2026) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2026.02.008

A review and integration of models on delusion maintenance

Lincoln, T. M., Romberg, H., Torrents‐Rodas, D., & Bott, A. (2026) · Psychological Medicine · doi:10.1017/s0033291726103705

Geology and economics of platinum-group metals in Australia

Laznicka, P. (1990) · Ore Geology Reviews · doi:10.1016/0169-1368(90)90013-d · Cited by 9 · see citing works

Circular inferences in schizophrenia

Jardri, R., & Denève, S. (2013) · Brain · doi:10.1093/brain/awt257 · Cited by 201 · see citing works

Circular Inference and Hallucinations

Jardri, R., Leptourgos, P., Bouttier, V., & Denève, S. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.131

A JOURNAL OF NEUROLOGY OCCASIONAL PAPER Circular inferences in schizophrenia

Jardri, R. (2016)

The Predictive Coding Account of Psychosis

Sterzer, P., Adams, R. A., Fletcher, P., Frith, C., Lawrie, S. M., Muckli, L., Petrovic, P., Uhlhaas, P., Voss, M., & Corlett, P. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.05.015 · Cited by 941 · see citing works