Cited by 249Visual perception and processing mechanismsMultisensory perception and integrationFace Recognition and Perception

The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.

Illusions, perception and Bayes

Geisler, Wilson S., Kersten, Daniel·2002·Nature Neuroscience

DOI 10.1038/nn0602-508

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1038/nn0602-508

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
Perception as Bayesian Inference
(1996) · doi:10.1017/cbo9780511984037 · Cited by 1,425
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
Edge co-occurrence in natural images predicts contour grouping performance
Geisler, W. S., Perry, J. S., Super, B. J., & Gallogly, D. P. (2001) · Vision Research · doi:10.1016/s0042-6989(00)00277-7 · Cited by 678
Self-citation
Bayesian color constancy
Brainard, D. H., & Freeman, W. T. (1997) · Journal of the Optical Society of America A · doi:10.1364/josaa.14.001393 · Cited by 525
The new cognitive neurosciences, 2nd ed.
Gazzaniga, M. S. (2000) · Cited by 470
Sequential ideal-observer analysis of visual discriminations.
Geisler, W. S. (1989) · Psychological Review · doi:10.1037/0033-295x.96.2.267 · Cited by 403
Self-citation
Perception of three-dimensional shape influences colour perception through mutual illumination
Bloj, M., Kersten, D., & Hurlbert, A. C. (1999) · Nature · doi:10.1038/47245 · Cited by 314
Self-citation
The generic viewpoint assumption in a framework for visual perception
Freeman, W. T. (1994) · Nature · doi:10.1038/368542a0 · Cited by 256
Bayesian decision theory and psychophysics
Yuille, A. L., & Bülthoff, H. H. (1996) · Perception as Bayesian Inference · doi:10.1017/cbo9780511984037.006 · Cited by 250

Flagged first, then by citations

Show all 15 references

1 of the 15 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

Mamassian, P., Landy, M.S. & Maloney, L.T. in Statistical Theories of the Brain (eds. Rao, R., Olshausen, B. & Lewicki, M.) 13–36 (MIT Press, Cambridge, Massachusetts, 2002).

Sorted by citations

Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924
Object perception as Bayesian inference
Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269
Self-citation
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
Self-citation
Bayesian decision theory in sensorimotor control
Kording, K. P., & Wolpert, D. M. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.003 · Cited by 916
Hallucinations and strong priors
Corlett, P. R., Horga, G., Fletcher, P. C., Alderson-Day, B., Schmack, K., & Powers, A. R. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.001 · Cited by 534
A century of Gestalt psychology in visual perception: II. Conceptual and theoretical foundations.
Wagemans, J. P., Feldman, J., Gepshtein, S., Kimchi, R., Pomerantz, J. R., van der Helm, P. A., & van Leeuwen, C. (2012) · Psychological Bulletin · doi:10.1037/a0029334 · Cited by 595
Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression
Stephan, K. E., Manjaly, Z. M., Mathys, C. D., Weber, L. A. E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S. M., Haker, H., Seth, A. K., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00550 · Cited by 437
“Third, a large body of psychophysical experiments indicate that basic perceptual judgements and multi-sensory integration show clear evidence for the operation of Bayesian inference (for overviews, Knill and Richards, 1996; Geisler and Kersten, 2002; Petzschner et al., 2015).”
Background
The Bayesian reader: Explaining word recognition as an optimal Bayesian decision process.
Norris, D. G. (2006) · Psychological Review · doi:10.1037/0033-295x.113.2.327 · Cited by 447
Language can boost otherwise unseen objects into visual awareness
Lupyan, G., & Ward, E. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303312110 · Cited by 357
Persistent physical symptoms as perceptual dysregulation: a neuropsychobehavioral model and its clinical implications
Henningsen, P., Gündel, H., Kop, W. J., Löwe, B., Martin, A., Rief, W., Rosmalen, J. G. M., Schröder, A., van der Feltz-Cornelis, C., & Van den Bergh, O. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000588 · Cited by 310
SUN: Top-down saliency using natural statistics
Kanan, C., Tong, M. H., Zhang, L., & Cottrell, G. W. (2009) · Visual Cognition · doi:10.1080/13506280902771138 · Cited by 270
The Innate Mind
Stich, S. P., Laurence, S., & Carruthers, P. (2005) · doi:10.1093/acprof:oso/9780195179675.001.0001 · Cited by 265
Focus of attention modulates the heartbeat evoked potential
Petzschner, F. H., Weber, L. A., Wellstein, K. V., Paolini, G., Do, C. T., & Stephan, K. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.037 · Cited by 248
Modularity and Relevance
Sperber, D. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0004 · Cited by 245
Probabilistic models in human sensorimotor control
Wolpert, D. M. (2007) · Human Movement Science · doi:10.1016/j.humov.2007.05.005 · Cited by 212
Circular inferences in schizophrenia
Jardri, R., & Denève, S. (2013) · Brain · doi:10.1093/brain/awt257 · Cited by 201
Computational psychosomatics and computational psychiatry: Toward a joint framework for differential diagnosis
Petzschner, F. H., Weber, L. A. E., Gard, T., & Stephan, K. E. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.012 · Cited by 181
Cognitive Penetrability of Perception in the Age of Prediction: Predictive Systems are Penetrable Systems
Lupyan, G. (2015) · Review of Philosophy and Psychology · doi:10.1007/s13164-015-0253-4 · Cited by 212
A statistical explanation of visual space
Yang, Z., & Purves, D. (2003) · Nature Neuroscience · doi:10.1038/nn1059 · Cited by 195
Bayesian estimation of the shape skeleton
Feldman, J., & Singh, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608811103 · Cited by 188
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
Prediction, Bayesian inference and feedback in speech recognition
Norris, D., McQueen, J. M., & Cutler, A. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1081703 · Cited by 170
Computational Neuropsychology and Bayesian Inference
Parr, T., Rees, G. E., & Friston, K. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00061 · Cited by 158
Subjective Time
(2014) · The MIT Press eBooks · doi:10.7551/mitpress/8516.001.0001 · Cited by 146
Active inference and free energy
Friston, K. J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12002142 · Cited by 138
Bayesian Perceptual Psychology
Rescorla, M. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199600472.013.010 · Cited by 137
Neurophysiology of Skin Thermal Sensations
Filingeri, D. (2016) · Comprehensive physiology · doi:10.1002/cphy.c150040 · Cited by 168
Feedforward and feedback in speech perception: Revisiting analysis by synthesis
Poeppel, D., & Monahan, P. J. (2010) · Language and Cognitive Processes · doi:10.1080/01690965.2010.493301 · Cited by 133
Human skin wetness perception: psychophysical and neurophysiological bases
Filingeri, D., & Havenith, G. (2015) · Temperature · doi:10.1080/23328940.2015.1008878 · Cited by 134
A Bayesian approach to the evolution of perceptual and cognitive systems
Geisler, W. S., & Diehl, R. L. (2003) · Cognitive Science · doi:10.1016/s0364-0213(03)00009-0 · Cited by 125
Self-citation
Why wet feels wet? A neurophysiological model of human cutaneous wetness sensitivity
Filingeri, D., Fournet, D., Hodder, S., & Havenith, G. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00120.2014 · Cited by 122
Model Observers in Medical Imaging Research
He, X. J., & Park, S. (2013) · Theranostics · doi:10.7150/thno.5138 · Cited by 116
Demonstration of cue recruitment: Change in visual appearance by means of Pavlovian conditioning
Qi, H., Saunders, J. A., Stone, R. W., & Backus, B. T. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506728103 · Cited by 112
Optimal inference with suboptimal models: Addiction and active Bayesian inference
Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C. D., Dolan, R. J., Wurst, F. M., Kronbichler, M., & Friston, K. J. (2014) · Medical Hypotheses · doi:10.1016/j.mehy.2014.12.007 · Cited by 111
Understanding vision in wholly empirical terms
Purves, D., Wojtach, W. T., & Lotto, R. B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012178108 · Cited by 106
Ambiguities and conventions in the perception of visual art
Mamassian, P. (2008) · Vision Research · doi:10.1016/j.visres.2008.06.010 · Cited by 102
Bayesian model of human color constancy
Brainard, D. H., Longere, P., Delahunt, P. B., Freeman, W. T., Kraft, J. M., & Xiao, B. (2006) · Journal of Vision · doi:10.1167/6.11.10 · Cited by 102
Resolving the Debate on Innate Ideas
Tooby, J., & Barrett, H. C. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0018 · Cited by 101
Afferent Input, Efference Copy, Signal Noise, and Biases in Perception of Joint Angle During Active Versus Passive Elbow Movements
Gritsenko, V., Krouchev, N. I., & Kalaska, J. F. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00162.2007 · Cited by 99
Unsupervised learning predicts human perception and misperception of gloss
Storrs, K. R., Anderson, B. L., & Fleming, R. W. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01097-6 · Cited by 98
The Mechanisms of Size Constancy
Sperandio, I., Sperandio, I., & Chouinard, P. A. (2015) · Multisensory Research · doi:10.1163/22134808-00002483 · Cited by 89
Perceptual awareness and active inference
Parr, T., Corcoran, A. W., Friston, K. J., & Hohwy, J. (2019) · Neuroscience of Consciousness · doi:10.1093/nc/niz012 · Cited by 91
Precision and False Perceptual Inference
Parr, T., Benrimoh, D. A., Vincent, P., & Friston, K. J. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00039 · Cited by 87
Cognitive Neuroscience and the Structure of the Moral Mind
Greene, J. D. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0019 · Cited by 84
A Bayesian Perspective on Sensory and Cognitive Integration in Pain Perception and Placebo Analgesia
Anchisi, D., & Zanon, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0117270 · Cited by 84
Modeling memory and perception
Shiffrin, R. M. (2003) · Cognitive Science · doi:10.1207/s15516709cog2703_2 · Cited by 79
Neural markers of predictive coding under perceptual uncertainty revealed with Hierarchical Frequency Tagging
Gordon, N., Koenig‐Robert, R., Tsuchiya, N., van Boxtel, J. J. A., & Hohwy, J. (2017) · eLife · doi:10.7554/elife.22749 · Cited by 72
Sensory Symptoms in Autism: A Blooming, Buzzing Confusion?
Pellicano, E. (2013) · Child Development Perspectives · doi:10.1111/cdep.12031 · Cited by 84
Bayesian approaches to sensory integration for motor control
Berniker, M., & Kording, K. P. (2011) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.125 · Cited by 73
Why do animals differ in their susceptibility to geometrical illusions?
Feng, L. C., Chouinard, P. A., Howell, T. J., & Bennett, P. C. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1133-3 · Cited by 67
Comparison of Bayesian and empirical ranking approaches to visual perception
Howe, C. Q., Lotto, R. B., & Purves, D. (2006) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2006.01.017 · Cited by 64
Bayesian Sensorimotor Psychology
Rescorla, M. (2016) · Mind & Language · doi:10.1111/mila.12093 · Cited by 63
Computational Evolutionary Perception
Hoffman, D. D., & Singh, M. (2012) · Perception · doi:10.1068/p7275 · Cited by 61
Predictive coding and thought
Williams, D. (2020) · Synthese · doi:10.1007/s11229-018-1768-x · Cited by 63
Language and the Development of Spatial Reasoning
Shusterman, A., & Spelke, E. S. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0006 · Cited by 63
An equivalent illuminant model for the effect of surface slant on perceived lightness
Bloj, M., Ripamonti, C., Mitha, K., Hauck, R., Greenwald, S. H., & Brainard, D. H. (2004) · Journal of Vision · doi:10.1167/4.9.6 · Cited by 58
Innateness and Moral Psychology
Nichols, S. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0020 · Cited by 53
The function of consciousness in multisensory integration
Palmer, T. D., & Ramsey, A. K. (2012) · Cognition · doi:10.1016/j.cognition.2012.08.003 · Cited by 91
Size Contrast and Assimilation Explained by the Statistics of Natural Scene Geometry
Howe, C. Q., & Purves, D. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/089892904322755584 · Cited by 52
The Bayesian Way to Relate Rhythm Perception and Production
Sadakata, M., Desain, P., & Honing, H. (2006) · Music Perception An Interdisciplinary Journal · doi:10.1525/mp.2006.23.3.269 · Cited by 49
Common Bayesian Models for Common Cognitive Issues
Colas, F., Diard, J., & Bessìère, P. (2010) · Acta Biotheoretica · doi:10.1007/s10441-010-9101-1 · Cited by 59
Sensorimotor Grounding of Musical Embodiment and the Role of Prediction: A Review
Maes, P. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00308 · Cited by 60
Intact priors for gaze direction in adults with high-functioning autism spectrum conditions
Pell, P. J., Mareschal, I., Calder, A. J., Hagen, E. V. D., Clifford, C. W. G., Baron‐Cohen, S., & Ewbank, M. (2016) · Molecular Autism · doi:10.1186/s13229-016-0085-9 · Cited by 50
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation
Xiong, C., Stokes, C., Kim, Y., & Franconeri, S. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209405 · Cited by 56
The Complexity of Cognition
Samuels, R. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0007 · Cited by 48
Systematic biases in adult color perception persist despite lifelong information sufficient to calibrate them
Bompas, A., Powell, G., & Sumner, P. (2013) · Journal of Vision · doi:10.1167/13.1.19 · Cited by 46
The Plausibility of Adaptations for Homicide
Duntley, J. D., & Buss, D. M. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0017 · Cited by 46
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Wei, X.-X., & Stocker, A. A. (2012) · Cited by 44
Visuomotor robustness is based on integration not segregation
Schenk, T. (2010) · Vision Research · doi:10.1016/j.visres.2010.08.013 · Cited by 44
Perceptual Learning: Inverting the Size–Weight Illusion
Ernst, M. O. (2009) · Current Biology · doi:10.1016/j.cub.2008.10.039 · Cited by 43
How a cognitive psychologist came to seek universal laws
Shepard, R. N. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03206455 · Cited by 42
Can Computational Goals Inform Theories of Vision?
Anderson, B. L. (2015) · Topics in Cognitive Science · doi:10.1111/tops.12136 · Cited by 37
Object knowledge changes visual appearance: Semantic effects on color afterimages
Lupyan, G. (2015) · Acta Psychologica · doi:10.1016/j.actpsy.2015.08.006 · Cited by 37
The mental lexicon is fully specified: Evidence from eye-tracking.
Holger Mitterer, A. (2011) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0020989 · Cited by 34
Number and Natural Language
Laurence, S., & Margolis, E. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0013 · Cited by 33
Introduction
Simpson, T., Carruthers, P., Laurence, S., & Stich, S. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0001 · Cited by 34
Bayesian efficient coding
Park, I. M., & Pillow, J. W. (2026) · PLoS Computational Biology · doi:10.1101/178418 · Cited by 31
Geometrical optical illusion via sub-Riemannian geodesics in the roto-translation group
Franceschiello, B., Mashtakov, A., Citti, G., & Sarti, A. (2019) · Differential Geometry and its Applications · doi:10.1016/j.difgeo.2019.03.007 · Cited by 30
Is prior knowledge of object geometry used in visually guided reaching?
Hartung, B., Schrater, P., Bülthoff, H., Kersten, D., & Franz, V. H. (2005) · Journal of Vision · doi:10.1167/5.6.2 · Cited by 31
Self-citation
Brass Tacks in Linguistic Theory
Crain, S., Gualmini, A., & Pietroski, P. M. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0011 · Cited by 30
Perceptual inference employs intrinsic alpha frequency to resolve perceptual ambiguity
Shen, L., Han, B., Chen, L., & Chen, Q. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000025 · Cited by 31
Innateness and (Bayesian) Visual Perception
Scholl, B. J. (2005) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195179675.003.0003 · Cited by 31
The radiology task: Bayesian theory and perception
Donovan, T., & Manning, D. (2007) · British Journal of Radiology · doi:10.1259/bjr/98148548 · Cited by 29
The Mixture of Bernoulli Experts: A theory to quantify reliance on cues in dichotomous perceptual decisions
Backus, B. T. (2009) · Journal of Vision · doi:10.1167/9.1.6 · Cited by 27
Protein Complexes: The Evolution of Symmetry
Plaxco, K. W., & Groß, M. (2009) · Current Biology · doi:10.1016/j.cub.2008.11.004 · Cited by 27
The role of priors in Bayesian models of perception
Teufel, C., Subramaniam, N., & Fletcher, P. C. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00025 · Cited by 26
Competition between newly recruited and pre-existing visual cues during the construction of visual appearance
Backus, B. T., & Qi, H. (2007) · Vision Research · doi:10.1016/j.visres.2006.12.008 · Cited by 26
Multistability, perceptual value, and internal foraging
Safavi, S., & Dayan, P. (2022) · Neuron · doi:10.1016/j.neuron.2022.07.024 · Cited by 29
It's that time again
Mamassian, P., & Landy, M. S. (2010) · Nature Neuroscience · doi:10.1038/nn0810-914 · Cited by 24
Natural Selection and Shape Perception
Singh, M., & Hoffman, D. D. (2013) · Advances in Computer Vision and Pattern Recognition · doi:10.1007/978-1-4471-5195-1_12 · Cited by 23
Are Auditory Percepts Determined by Experience?
Monson, B. B., Han, S., & Purves, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063728 · Cited by 23
Structure Learning in Bayesian Sensorimotor Integration
Genewein, T., Hez, E., Razzaghpanah, Z., & Braun, D. A. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004369 · Cited by 25
Perceptual learning
Jenkin, Z. (2023) · Philosophy Compass · doi:10.1111/phc3.12932 · Cited by 23
A Neuromathematical Model for Geometrical Optical Illusions
Franceschiello, B., Sarti, A., & Citti, G. (2017) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-017-0740-6 · Cited by 20
Illusions, hallucinations, and visual snow
Fraser, C. L., & Lueck, C. J. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-821377-3.00014-3 · Cited by 22
The economics of motion perception and invariants of visual sensitivity
Gepshtein, S., Tyukin, I., & Kubovy, M. (2007) · Journal of Vision · doi:10.1167/7.8.8 · Cited by 22
Inferring figure-ground using a recurrent integrate-and-fire neural circuit
Baek, K., & Sajda, P. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.847388 · Cited by 22
A unified probabilistic model of the perception of three-dimensional structure from optic flow
Colas, F., Jacques Droulez, A., Wexler, M., & Bessìère, P. (2007) · Biological Cybernetics · doi:10.1007/s00422-007-0183-z · Cited by 21
The influence of size in weight illusions is unique relative to other object features
Saccone, E. J., & Chouinard, P. A. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1519-5 · Cited by 21
Peripheral and central determinants of skin wetness sensing in humans
Filingeri, D., & Havenith, G. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63912-7.00005-9 · Cited by 21

Authors: Geisler, W. S., & Kersten, D.
Affiliations: The University of Texas at Austin (US)
University of Minnesota (US)
ORCID: Geisler, Wilson S.
Kersten, Daniel
Venue: Nature Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2002-06
Volume: 5
Issue: 6
Pages: 508-510
ISSN: 1097-6256 (ISSN-L)
1546-1726
DOI: 10.1038/nn0602-508
OpenAlex: W2003984303
Cited by: 249
References: 15
Citations by year: 2026: 7 · 2025: 9 · 2024: 7 · 2023: 6 · 2022: 12 · 2021: 10 · 2020: 7 · 2019: 23 · 2018: 10 · 2017: 9 · 2016: 12 · 2015: 15 · 2014: 7 · 2013: 19 · 2012: 6
FWCI: 6.14
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature Neuroscience (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords: optical illusions, Bayesian inference, perception, motion perception, rational inference
MeSH terms: Bayes Theorem, Humans, Models, Neurological, Motion Perception, Optical Illusions, Retina, Visual Perception

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Illusions, perception and Bayes

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks