Predictive coding explains binocular rivalry: an epistemological review
Open accessAbstract
Binocular rivalry occurs when the eyes are presented with different stimuli and subjective perception alternates between them. Though recent years have seen a number of models of this phenomenon, the mechanisms behind binocular rivalry are still debated and we still lack a principled understanding of why a cognitive system such as the brain should exhibit this striking kind of behaviour. Furthermore, psychophysical and neurophysiological (single cell and imaging) studies of rivalry are not unequivocal and have proven difficult to reconcile within one framework. This review takes an epistemological approach to rivalry that considers the brain as engaged in probabilistic unconscious perceptual inference about the causes of its sensory input. We describe a simple empirical Bayesian framework, implemented with predictive coding, which seems capable of explaining binocular rivalry and reconciling many findings. The core of the explanation is that selection of one stimulus, and subsequent alternation between stimuli in rivalry occur when: (i) there is no single model or hypothesis about the causes in the environment that enjoys both high likelihood and high prior probability and (ii) when one stimulus dominates, the bottom-up, driving signal for that stimulus is explained away while, crucially, the bottom-up signal for the suppressed stimulus is not, and remains as an unexplained but explainable prediction error signal. This induces instability in perceptual dynamics that can give rise to perceptual transitions or alternations during rivalry.
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The flip between the two percepts in binocular rivalry is a function of the balance between the two generative models of the visual input.
“As such, the flip between the two percepts is a function of the balance between the two generative models of the visual input (Hohwy et al., 2008).”
From The free-energy self: a predictive coding account of self-recognition (2014) · cites this paper as Hohwy et al., 2008
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Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680 · see citing works
Hume, D. (1739) · Cambridge University Press eBooks · doi:10.1017/cbo9780511620409.040 · Cited by 9,866 · see citing works
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 1× · see citing works
“…Hinton, & Sejnowski, 1983; Dayan, Hinton, Neal, & Zemel, 1995; Friston, 2002; Friston, 2003; Friston, 2005; Friston & Stephan, 2007; Kawato, Hayakawa, & Inui, 1993; Kersten, Mamassian, & Yuille, 2004; Knill & Pouget, 2004; Mumford, 1992; Murray, Schrater, & Kersten, 2004; Rao & Ballard, 1999).”
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 · see citing works
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · see citing works
Self-citationThe Bayesian brain: The role of uncertainty in neural coding and computation
Knill, D. C., & Pouget, A. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.10.007 · Cited by 2,588 · see citing works
Treatise on Physiological Optics
von Helmholtz, H., & Southall, P. C. (1962) · Medical Entomology and Zoology · Cited by 2,196 · see citing works
The Ventriloquist Effect Results from Near-Optimal Bimodal Integration
Alais, D., & Burr, D. (2004) · Current Biology · doi:10.1016/j.cub.2004.01.029 · Cited by 1,936 · see citing works
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774 · see citing works
Logothetis, N. K., & Sheinberg, D. L. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.003045 · Cited by 1,360 · see citing works
Wheatstone, C. (1838) · Philosophical Transactions of the Royal Society of London · doi:10.1098/rstl.1838.0019 · Cited by 1,336 · see citing works
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 · see citing works
Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation · doi:10.1162/neco.1995.7.5.889 · Cited by 1,207 · see citing works
Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading.
Grossberg, S., & Ennio Mingolla, B. (1985) · Psychological Review · doi:10.1037/0033-295x.92.2.173 · Cited by 1,112 · see citing works
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074 · see citing works
Chklovskii, D. B. (2002) · Neuron · doi:10.1016/s0896-6273(02)00703-1 · Cited by 1,074 · see citing works
Blake, R., & Logothetis, N. K. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn701 · Cited by 1,073 · see citing works
Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry
Leopold, D., & Logothetis, N. (1996) · Nature · doi:10.1038/379549a0 · Cited by 961 · see citing works
Multistable phenomena: changing views in perception
Leopold, D. A., & Logothetis, N. K. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01332-7 · Cited by 955 · see citing works
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929 · see citing works
Spontaneously emerging cortical representations of visual attributes
Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A., & Arieli, A. (2003) · Nature · doi:10.1038/nature02078 · Cited by 924 · see citing works
(1983) · Medical Entomology and Zoology · Cited by 909 · see citing works
Binocular Rivalry and Visual Awareness in Human Extrastriate Cortex
Tong, F., Nakayama, K., Vaughan, J. T., & Kanwisher, N. (1998) · Neuron · doi:10.1016/s0896-6273(00)80592-9 · Cited by 866 · 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
The quest for consciousness: a neurobiological approach
(2004) · Choice Reviews Online · doi:10.5860/choice.42-1543 · Cited by 815 · see citing works
Levelt, W. J. M. (1968) · MPG.PuRe (Max Planck Society) · Cited by 784 · see citing works
Neural Correlates of Perceptual Rivalry in the Human Brain
Lumer, E. D., Friston, K. J., & Rees, G. E. (1998) · Science · doi:10.1126/science.280.5371.1930 · Cited by 745 · see citing works
Self-citationLearning and inference in the brain
Friston, K. (2003) · Neural Networks · doi:10.1016/j.neunet.2003.06.005 · Cited by 724 · see citing works
Self-citationVisual attention mediated by biased competition in extrastriate visual cortex
Desimone, R. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0280 · Cited by 696 · see citing works
Neural bases of binocular rivalry
Tong, F., Meng, M., & Blake, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.09.003 · Cited by 689 · see citing works
Friston, K. J., & Stephan, K. E. (2007) · Synthese · doi:10.1007/s11229-007-9237-y · Cited by 673 · see citing works
Self-citationFunctional MRI reveals spatially specific attentional modulation in human primary visual cortex
Somers, D. C., Dale, A. M., Seiffert, A. E., & Tootell, R. B. H. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.4.1663 · Cited by 653 · see citing works
A neural theory of binocular rivalry.
Blake, R. (1989) · Psychological Review · doi:10.1037/0033-295x.96.1.145 · Cited by 646 · see citing works
Neuronal Correlates of Subjective Visual Perception
Logothetis, N. K., & Schall, J. D. (1989) · Science · doi:10.1126/science.2772635 · Cited by 636 · see citing works
The Quest for Consciousness: A Neurobiological Approach
Frith, C. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.2.407 · Cited by 608 · see citing works
The role of temporal cortical areas in perceptual organization
Sheinberg, D., & Logothetis, N. K. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.7.3408 · Cited by 603 · see citing works
Neuronal activity in human primary visual cortex correlates with perception during binocular rivalry
Polonsky, A., Blake, R., Braun, J., & Heeger, D. J. (2000) · Nature Neuroscience · doi:10.1038/80676 · Cited by 589 · see citing works
What is rivalling during binocular rivalry?
Logothetis, N. K., Leopold, D. A., & Sheinberg, D. L. (1996) · Nature · doi:10.1038/380621a0 · Cited by 560 · see citing works
Ridley, H. (1973) · BMJ · doi:10.1136/bmj.4.5893.682-b · Cited by 538 · see citing works
The role of neuronal synchronization in selective attention
Womelsdorf, T., & Fries, P. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.002 · Cited by 511 · see citing works
Cognitive neuroscience: Primary visual cortex and visual awareness
Tong, F. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1055 · Cited by 507 · see citing works
Knowledge in perception and illusion
Gregory, R. L. (1997) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1997.0095 · Cited by 498 · see citing works
Shape perception reduces activity in human primary visual cortex
Murray, S. O., Kersten, D., Olshausen, B. A., Schrater, P., & Woods, D. L. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.192579399 · Cited by 496 · see citing works
Interocular rivalry revealed in the human cortical blind-spot representation
Tong, F., & Engel, S. A. (2001) · Nature · doi:10.1038/35075583 · Cited by 454 · see citing works
On the nature of the BOLD fMRI contrast mechanism
Logothetis, N. K., & Pfeuffer, J. (2004) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.018 · Cited by 420 · see citing works
Meng, M., & Tong, F. (2004) · Journal of Vision · doi:10.1167/4.7.2 · Cited by 417 · see citing works
Computational evidence for a rivalry hierarchy in vision
Wilson, H. R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2333622100 · Cited by 406 · see citing works
When the brain changes its mind: Interocular grouping during binocular rivalry
Kovács, I., Papathomas, T. V., Ming, Y., & Feher, A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.26.15508 · Cited by 399 · see citing works
Noise-Induced Alternations in an Attractor Network Model of Perceptual Bistability
Moreno‐Bote, R., Rinzel, J., & Rubin, N. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00116.2007 · Cited by 376 · see citing works
Ballard, D. H., Hinton, G. E., & Sejnowski, T. J. (1983) · Nature · doi:10.1038/306021a0 · Cited by 356 · see citing works
Pupil dilation reflects perceptual selection and predicts subsequent stability in perceptual rivalry
Einhäuser, W., Stout, J., Koch, C., & Carter, O. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707727105 · Cited by 351 · see citing works
Eye-specific effects of binocular rivalry in the human lateral geniculate nucleus
Haynes, J., Deichmann, R., & Rees, G. E. (2005) · Nature · doi:10.1038/nature04169 · Cited by 349 · see citing works
The disunity of consciousness.
Zeki, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00081-0 · Cited by 337 · see citing works
Functional integration and inference in the brain.
Friston, K. J. (2002) · Progress in neurobiology · doi:10.1016/s0301-0082(02)00076-x · Cited by 335 · see citing works
Self-citationA Spiking Neuron Model for Binocular Rivalry
Laing, C. R., & Chow, C. C. (2002) · Journal of Computational Neuroscience · doi:10.1023/a:1014942129705 · Cited by 333 · see citing works
Neural correlates of binocular rivalry in the human lateral geniculate nucleus
Wunderlich, K., Schneider, K. A., & Kästner, S. (2005) · Nature Neuroscience · doi:10.1038/nn1554 · Cited by 297 · see citing works
An Astable Multivibrator Model of Binocular Rivalry
Lehky, S. R. (1988) · Perception · doi:10.1068/p170215 · Cited by 263 · see citing works
Traveling waves of activity in primary visual cortex during binocular rivalry
Lee, S., Blake, R., & Heeger, D. J. (2004) · Nature Neuroscience · doi:10.1038/nn1365 · Cited by 258 · see citing works
The neural correlates of conscious experience: an experimental framework
Frith, C., Perry, R., & Lumer, E. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01281-4 · Cited by 250 · see citing works
Tsuchiya, N., Koch, C., Gilroy, L. A., & Blake, R. (2006) · Journal of Vision · doi:10.1167/6.10.6 · Cited by 241 · see citing works
The time course of binocular rivalry reveals a fundamental role of noise
Brascamp, J. W., van Ee, R., Noest, A. J., Jacobs, R. H. A. H., & van den Berg, A. V. (2006) · Journal of Vision · doi:10.1167/6.11.8 · Cited by 234 · see citing works
Dynamic causal modelling of evoked potentials: A reproducibility study
Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.014 · Cited by 233 · see citing works
Self-citationObject-based attention determines dominance in binocular rivalry
Mitchell, J. F., Stoner, G. R., & Reynolds, J. H. (2004) · Nature · doi:10.1038/nature02584 · Cited by 229 · see citing works
Percept-choice sequences driven by interrupted ambiguous stimuli: A low-level neural model
Noest, A. J., van Ee, R., Nijs, M. M., & Wezel, R. J. A. V. (2007) · Journal of Vision · doi:10.1167/7.8.10 · Cited by 224 · see citing works
Reversibility of the Necker Cube: I. An Examination of the Concept of “Satiation of Orientation”
Orbach, J., Ehrlich, D., & Heath, H. A. (1963) · Perceptual and Motor Skills · doi:10.2466/pms.1963.17.2.439 · Cited by 205 · see citing works
What is Suppressed during Binocular Rivalry?
Blake, R., Westendorf, D., & Overton, R. (1980) · Perception · doi:10.1068/p090223 · Cited by 205 · see citing works
Wheatstone, C. (1843) · Abstracts of the Papers Printed in the Philosophical Transactions of the Royal Society of London · doi:10.1098/rspl.1837.0035 · Cited by 192 · see citing works
Multistage Model for Binocular Rivalry
Freeman, A. W. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00557.2005 · Cited by 165 · see citing works
Bb, B. (1899) · The Psychological Monographs · doi:10.1037/h0092990 · Cited by 152 · see citing works
Minimal physiological conditions for binocular rivalry and rivalry memory
Wilson, H. R. (2007) · Vision Research · doi:10.1016/j.visres.2007.07.007 · Cited by 151 · see citing works
A forward-inverse optics model of reciprocal connections between visual cortical areas
Kawato, M., Hayakawa, H., & Inui, T. (1993) · Network: Computation in Neural Systems · doi:10.1088/0954-898x_4_4_001 · Cited by 151 · see citing works
Perceptual grouping and the interactions between visual cortical areas
Murray, S. O., Schrater, P., & Kersten, D. (2004) · Neural Networks · doi:10.1016/j.neunet.2004.03.010 · Cited by 149 · see citing works
Attention Speeds Binocular Rivalry
Paffen, C. L. E., Alais, D., & Verstraten, F. A. J. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01777.x · Cited by 148 · see citing works
Grouping visual features during binocular rivalry
Alais, D., & Blake, R. (1999) · Vision Research · doi:10.1016/s0042-6989(99)00146-7 · Cited by 142 · see citing works
A fresh look at the temporal dynamics of binocular rivalry
Mueller, T. J., & Blake, R. (1989) · Biological Cybernetics · doi:10.1007/bf00198769 · Cited by 142 · see citing works
Stochastic resonance in binocular rivalry
Kim, Y., Grabowecky, M., & Suzuki, S. (2005) · Vision Research · doi:10.1016/j.visres.2005.08.009 · Cited by 141 · see citing works
A Hierarchical Model of Binocular Rivalry
Dayan, P. (1998) · Neural Computation · doi:10.1162/089976698300017377 · Cited by 140 · see citing works
Goldreich, D. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000333 · Cited by 133 · see citing works
Failure of rivalry at low contrast: Evidence of a suprathreshold binocular summation process
Liu, L., Tyler, C. W., & Schor, C. M. (1992) · Vision Research · doi:10.1016/0042-6989(92)90203-u · Cited by 127 · see citing works
Mistaking a house for a face: neural correlates of misperception in healthy humans
Summerfield, C., Egner, T., Mangels, J., & Hirsch, J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhi129 · Cited by 120 · see citing works
Strength and coherence of binocular rivalry depends on shared stimulus complexity
Alais, D., & Melcher, D. (2006) · Vision Research · doi:10.1016/j.visres.2006.09.003 · Cited by 119 · see citing works
No binocular rivalry in the LGN of alert macaque monkeys
Lehky, S. R., & Maunsell, J. H. R. (1996) · Vision Research · doi:10.1016/0042-6989(95)00232-4 · Cited by 115 · see citing works
A neural network model of multistable perception
Kawamoto, A. H., & Anderson, J. A. D. W. (1985) · Acta Psychologica · doi:10.1016/0001-6918(85)90041-1 · Cited by 113 · see citing works
Increasing depth of binocular rivalry suppression along two visual pathways
Nguyen, V. A., Freeman, A. W., & Alais, D. (2003) · Vision Research · doi:10.1016/s0042-6989(03)00314-6 · Cited by 110 · see citing works
Perceptual dominance time distributions in multistable visual perception
Zhou, Y., Gao, J., White, K. D., et al. (2004) · Biological Cybernetics · doi:10.1007/s00422-004-0472-8 · Cited by 107 · see citing works
The Epistemological Problem for Automata
MACKAY, D. M. (1956) · Princeton University Press eBooks · doi:10.1515/9781400882618-012 · Cited by 107 · see citing works
Detection of motion during binocular rivalry suppression.
Fox, R. A., & Check, R. (1968) · Journal of Experimental Psychology · doi:10.1037/h0026440 · Cited by 103 · see citing works
V1 activity is reduced during binocular rivalry
Lee, S., & Blake, R. (2002) · Journal of Vision · doi:10.1167/2.9.4 · Cited by 99 · see citing works
van Ee, R. (2004) · Vision Research · doi:10.1016/j.visres.2004.07.039 · Cited by 99 · see citing works
Similarities in normal and binocularly rivalrous viewing
Andrews, T. J., & Purves, D. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.18.9905 · Cited by 94 · see citing works
The precedence of binocular fusion over binocular rivalry
Blake, R., & Boothroyd, K. (1985) · Perception & Psychophysics · doi:10.3758/bf03202845 · Cited by 94 · see citing works
A fresh look at interocular grouping during binocular rivalry
Lee, S., & Blake, R. (2004) · Vision Research · doi:10.1016/j.visres.2003.12.007 · Cited by 93 · see citing works
Binocular Rivalry and Motion Perception
Blake, R., Yu, K., Lokey, M., & Norman, H. F. (1998) · Journal of Cognitive Neuroscience · doi:10.1162/089892998563770 · Cited by 88 · see citing works
Winterer, G., Ziller, M., Dorn, H., Frick, K., Mulert, C., Dahhan, N., Herrmann, W. M., & Coppola, R. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00059-0 · Cited by 87 · see citing works
Bayesian modeling of cue interaction: bistability in stereoscopic slant perception
van Ee, R., Adams, W. J., & Mamassian, P. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001398 · Cited by 83 · see citing works
Effective stochastic dynamics on a protein folding energy landscape
Yang, S., Onuchic, J. N., & Levine, H. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2229206 · Cited by 78 · see citing works
On the inhibitory nature of binocular rivalry suppression.
Blake, R., & Camisa, J. M. (1979) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.5.2.315 · Cited by 75 · see citing works
The Dependence of Monocular Rivalry on Orientation
Campbell, F. W., Gilinsky, A. S., Howell, E. R., Riggs, L. A., & Atkinson, J. (1973) · Perception · doi:10.1068/p020123 · Cited by 74 · see citing works
The dynamic model of binocular rivalry
Matsuoka, K. (1984) · Biological Cybernetics · doi:10.1007/bf00334466 · Cited by 73 · see citing works
A test of Levelt's second proposition for binocular rivalry.
Bossink, C. J. H., Stalmeier, P., & de Weert, C. (1993) · Vision Research · doi:10.1016/0042-6989(93)90047-z · Cited by 67 · see citing works
On the inhibitory nature of binocular rivalry suppression.
Blake, R., & Camisa, J. M. (1979) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.5.2.315 · Cited by 66 · see citing works
Lumer, E. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.6.553 · Cited by 62 · see citing works
Neural model of temporal and stochastic properties of binocular rivalry
Kalarickal, G. J., & Marshall, J. A. (2000) · Neurocomputing · doi:10.1016/s0925-2312(00)00252-6 · Cited by 61 · see citing works
Billock, V. A., & Tsou, B. H.-P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610813104 · Cited by 49 · see citing works
Binocular rivalry and perceptual coherence
Ngô, T. T., Miller, S. M., Liu, G. B., & Pettigrew, J. D. (2000) · Current Biology · doi:10.1016/s0960-9822(00)00399-7 · Cited by 43 · see citing works
A Phenomenological Description of Retinal Rivalry
Meenes, M. (1930) · The American Journal of Psychology · doi:10.2307/1415275 · Cited by 40 · see citing works
Ngô, T. T., Liu, G. B., Tilley, A. J., Pettigrew, J. D., & Miller, S. M. (2007) · Vision Research · doi:10.1016/j.visres.2007.03.024 · Cited by 33 · see citing works
Distance in feature space determines exclusivity in visual rivalry
Knapen, T. H. J., Ryota Kanai, C., Brascamp, J. W., van Boxtel, J. J. A., & van Ee, R. (2007) · Vision Research · doi:10.1016/j.visres.2007.09.005 · Cited by 23 · see citing works
A Model for Perceptual Averaging and Stochastic Bistable Behavior and the Role of Voluntary Control
Koene, A. R. (2006) · Neural Computation · doi:10.1162/neco.2006.18.12.3069 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Alais, D., & Blake, R. (Eds.). (2005). Binocular rivalry. Cambridge, Mass: MIT Press.
- Mumford, D. (1992). On the computational architecture of the neocortex. Biological Cybernetics, 66(3), 241.
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Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · see citing works
Precise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885 · see citing works
Seth, A. K., & Bayne, T. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00587-4 · Cited by 880 · see citing works
An aberrant precision account of autism
Lawson, R. P., Rees, G., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00302 · Cited by 641 · see citing works
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Büchel, C., Geuter, S., Sprenger, C., & Eippert, F. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.042 · Cited by 505 · see citing works
The free-energy self: a predictive coding account of self-recognition
Apps, M. A. J., & Tsakiris, M. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.029 · Cited by 514 · see citing works
A review of predictive coding algorithms
Spratling, M. W. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2015.11.003 · Cited by 437 · see citing works
Huang, Y., & Rao, R. P. N. (2011) · WIREs Cognitive Science · doi:10.1002/wcs.142 · Cited by 470 · see citing works
Attention and conscious perception in the hypothesis testing brain
Hohwy, J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00096 · Cited by 396 · see citing works
Self-citationAutism, oxytocin and interoception
Quattrocki, E., & Friston, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.09.012 · Cited by 393 · see citing works
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Hesse, J. K., & Tsao, D. Y. (2020) · eLife · doi:10.7554/elife.58360 · Cited by 78 · see citing works
Schmack, K., Schnack, A., Priller, J., & Sterzer, P. (2015) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2015.03.005 · Cited by 88 · see citing works
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Thornton, M. A., Weaverdyck, M. E., & Tamir, D. I. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1431-18.2018 · Cited by 76 · see citing works
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Loued-Khenissi, L., Pfeuffer, A., Einhäuser, W., & Preuschoff, K. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116549 · Cited by 66 · see citing works
Kwisthout, J., Bekkering, H., & van Rooij, I. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2016.02.008 · Cited by 73 · see citing works
Psychotic Experiences in Schizophrenia and Sensitivity to Sensory Evidence
Weilnhammer, V., Röd, L., Eckert, A.-L., Stuke, H., Heinz, A., & Sterzer, P. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa003 · Cited by 65 · see citing works
The neural correlates of hierarchical predictions for perceptual decisions
Weilnhammer, V. A., Stuke, H., Sterzer, P., & Schmack, K. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.2901-17.2018 · Cited by 57 · see citing works
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Parr, T., Sajid, N., Da Costa, L., Mirza, M. B., & Friston, K. J. (2021) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2021.651432 · Cited by 46 · see citing works
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Fernandez Velasco, P., & Loev, S. (2021) · Synthese · doi:10.1007/s11229-020-02755-4 · Cited by 43 · see citing works
Whyte, C. J. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.102763 · Cited by 35 · see citing works
Altered predictive capability of the brain network EEG model in schizophrenia during cognition
Gomez-Pilar, J., Poza, J., Gómez, C., Northoff, G., Lubeiro, A., Cea-Cañas, B. B., Molina, V., & Hornero, R. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.043 · Cited by 32 · see citing works
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?
Millidge, B., Salvatori, T., Song, Y., Bogacz, R., & Lukasiewicz, T. (2022) · arXiv · doi:10.48550/arxiv.2202.09467 · Cited by 31 · see citing works
A beautiful loop: An active inference theory of consciousness.
Laukkonen, R., Friston, K., & Chandaria, S. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106296 · Cited by 22 · see citing works
“To add some phenomenological nuance to our construct we borrow the term luminosity , which appears often in the ancient discourses of contemplative traditions (An ¯ alayo, 2017), particularly in Mahayana and Vajrayana Buddhism (Williams, 2013) and Indian philosophy (Skorupski, 2012; Berger, 2015).”
Self-citationSpecies of realization and the free energy principle
Kirchhoff, M. D. (2015) · Australasian Journal of Philosophy · doi:10.1080/00048402.2014.992446 · Cited by 19 · see citing works
Computational Models of Hallucinations
Jardri, R., & Denève, S. (2013) · The Neuroscience of Hallucinations · doi:10.1007/978-1-4614-4121-2_16 · Cited by 16 · see citing works
Editorial: Predictive Processing and Consciousness
Miller, M., Clark, A., & Schlicht, T. (2022) · Review of Philosophy and Psychology · doi:10.1007/s13164-022-00666-6 · Cited by 8 · see citing works
Evidence and implications of abnormal predictive coding in dementia
Kocagoncu, E., Klimovich-Gray, A., Hughes, L. E., & Rowe, J. B. (2021) · Brain · doi:10.1093/brain/awab254 · Cited by 3 · see citing works
Corcoran, A. W., Haun, A. M., Dorman, R., Tononi, G., Friston, K. J., & Pennartz, C. M. A. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106742 · Cited by 2 · see citing works
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Salvatori, T., Mali, A., Buckley, C. L., Lukasiewicz, T., Rao, R. P. N., Friston, K., & Ororbia, A. (2026) · Neural Networks · doi:10.1016/j.neunet.2025.108161 · Cited by 2 · see citing works
Self-citation
- Authors
- Hohwy, J., Roepstorff, A., & Friston, K.
- Affiliations
- Monash University (AU)
- Aarhus University (DK)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Hohwy, Jakob
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 108
- Issue
- 3
- Pages
- 687-701
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2157754891
- Cited by
- 546
- References
- 109
- Citations by year
- 2026: 34 · 2025: 32 · 2024: 32 · 2023: 63 · 2022: 38 · 2021: 44 · 2020: 37 · 2019: 56 · 2018: 25 · 2017: 33 · 2016: 36 · 2015: 25 · 2014: 25 · 2013: 17 · 2012: 16
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- green
- philarchive.org
- Locations
- Cognition (publishedVersion)
- PubMed (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (088130)
- Danmarks Grundforskningsfond
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- binocular rivalry, predictive coding, empirical Bayes, perceptual alternation, prediction error, epistemology of perception
- MeSH terms
- Attention, Awareness, Bayes Theorem, Brain, Dominance, Cerebral, Humans, Motion Perception, Probability, Psychophysics, Visual Pathways, Visual Perception, Vision Disparity, Knowledge
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