The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Prior expectations induce prestimulus sensory templates
Open accessPublished version of a preprint
Abstract
Significance: The way that we perceive the world is partly shaped by what we expect to see at any given moment. However, it is unclear how this process is neurally implemented. Recently, it has been proposed that the brain generates stimulus templates in sensory cortex to preempt expected inputs. Here, we provide evidence that a representation of the expected stimulus is present in the neural signal shortly before it is presented, showing that expectations can indeed induce the preactivation of stimulus templates. Importantly, these expectation signals resembled the neural signal evoked by an actually presented stimulus, suggesting that expectations induce similar patterns of activations in visual cortex as sensory stimuli.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“in several instances, RS/ES effects that were observed with one noninvasive recording method were absent in another despite using otherwise identical paradigms.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [53]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Another possibility is that expectations have an anticipatory effect and sensitize representations even before stimulus onset.Empirical support for such forward-looking perceptual predictions comes from electrophysiological reports of stimulus-specific baseline shifts before stimulus onset [67,97], from time-locked responses to unexpectedly omitted stimuli [69,98], and from predictive preactiv”
From How Do Expectations Shape Perception? (2018) · cites this paper as [99]
In the citing paper
“Although the overall spatial configuration of K.C.'s sketch map was intact, he included fewer streets and landmarks than did control participants.”
From From cognitive maps to spatial schemas (2023) · cites this paper as [213]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 20,012
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 1×
“Recent theories of sensory processing state that perception reflects the integration of bottom-up inputs and top-down expectations, but ideas diverge on whether the brain continuously generates stimulus templates in sensory cortex to preempt expected inputs (10, 23, 53, 54) or rather, engages in perceptual inference o…”
BackgroundA 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
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 · cited 1×
“Previous studies have suggested, both on theoretical (31) and on empirical (32, 33) grounds, that top-down (prediction) and bottom-up (stimulus-driven or prediction error) signals are subserved by distinct frequency bands.”
BackgroundQuest: A Bayesian adaptive psychometric method
Watson, A. B., & Pelli, D. G. (1983) · Perception & Psychophysics · doi:10.3758/bf03202828 · Cited by 2,398
Näätänen, R. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00078407 · Cited by 1,699
Top-down facilitation of visual recognition
Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmid, A. M., Dale, A. M., Hämäläinen, M. S., Marinkovic, K., Schacter, D. L., Rosen, B. R., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507062103 · Cited by 1,489
Hierarchical Bayesian inference in the visual cortex
Lee, T. S., & Mumford, D. (2003) · Journal of the Optical Society of America A · doi:10.1364/josaa.20.001434 · Cited by 1,473
Decoding reveals the contents of visual working memory in early visual areas
Harrison, S. A., & Tong, F. (2009) · Nature · doi:10.1038/nature07832 · Cited by 1,347
Visual areas exert feedforward and feedback influences through distinct frequency channels
Bastos, A. M., Vezoli, J., Bosman, C. A., Schoffelen, J.-M., Oostenveld, R., Dowdall, J. R., De Weerd, P., Kennedy, H., & Fries, P. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.018 · Cited by 1,320
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
Single-trial analysis and classification of ERP components — A tutorial
Blankertz, B., Lemm, S., Treder, M., Haufe, S., & Müller, K.-R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.048 · Cited by 1,138
Characterizing the dynamics of mental representations: the temporal generalization method
King, J.-R., & Dehaene, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.01.002 · Cited by 968
Expectation (and attention) in visual cognition
Summerfield, C., & Egner, T. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.003 · Cited by 950
Stimulus-Specific Delay Activity in Human Primary Visual Cortex
Serences, J. T., Ester, E. F., Vogel, E. K., & Awh, E. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02276.x · Cited by 833
Expectation in perceptual decision making: neural and computational mechanisms
Summerfield, C., & de Lange, F. P. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3838 · Cited by 832
Resolving human object recognition in space and time
Cichy, R. M., Pantazis, D., & Oliva, A. (2014) · Nature Neuroscience · doi:10.1038/nn.3635 · Cited by 832
Less Is More: Expectation Sharpens Representations in the Primary Visual Cortex
Kok, P., Jehee, J. F. M., & de Lange, F. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.034 · Cited by 798
Self-citationSpontaneous 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
Neural signature of the conscious processing of auditory regularities
Bekinschtein, T. A., Dehaene, S., Rohaut, B., Tadel, F., Cohen, L., & Naccache, L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809667106 · Cited by 738
Neural repetition suppression reflects fulfilled perceptual expectations
Summerfield, C., Trittschuh, E. H., Monti, J. M., Mesulam, M.-M., & Egner, T. (2008) · Nature Neuroscience · doi:10.1038/nn.2163 · Cited by 692
Decoding and Reconstructing Color from Responses in Human Visual Cortex
Brouwer, G. J., & Heeger, D. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3577-09.2009 · Cited by 586
Evidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560
The hippocampus as an associator of discontiguous events
Wallenstein, G. V., Hasselmo, M. E., & Eichenbaum, H. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(97)01220-4 · Cited by 545
Shared representations for working memory and mental imagery in early visual cortex
Albers, A. M., Kok, P., Toni, I., Dijkerman, H. C., & de Lange, F. P. (2013) · Current Biology · doi:10.1016/j.cub.2013.05.065 · Cited by 528
Self-citationKnowledge 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
Stimulus Predictability Reduces Responses in Primary Visual Cortex
Alink, A., Schwiedrzik, C. M., Kohler, A., Singer, W., & Muckli, L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3730-10.2010 · Cited by 435
Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities
Schapiro, A. C., Kustner, L. V., & Turk-Browne, N. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.06.056 · Cited by 430
Ester, E. F., Sprague, T. C., & Serences, J. T. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.013 · Cited by 427
Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
Kok, P., Bains, L. J., van Mourik, T., Norris, D. G., & de Lange, F. P. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.038 · Cited by 397
Self-citationPrior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study
Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1425-11.2011 · Cited by 391
Experience-dependent spatial expectations in mouse visual cortex
Fiser, A., Mahringer, D., Oyibo, H. K., Petersen, A. V., Leinweber, M., & Keller, G. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4385 · Cited by 332
How the hippocampus preserves order: the role of prediction and context
Davachi, L., & DuBrow, S. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.004 · Cited by 328
Statistical learning of visual transitions in monkey inferotemporal cortex
Meyer, T., & Olson, C. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112895108 · Cited by 325
Top-down activation of shape-specific population codes in visual cortex during mental imagery
Stokes, M., Thompson, R., Cusack, R., & Duncan, J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4657-08.2009 · Cited by 323
A Dual Role for Prediction Error in Associative Learning
den Ouden, H. E. M., Friston, K. J., Daw, N. D., McIntosh, A. R., & Stephan, K. E. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn161 · Cited by 306
Prior Expectations Evoke Stimulus Templates in the Primary Visual Cortex
Kok, P., Failing, M. F., & de Lange, F. P. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00562 · Cited by 293
Self-citationDissociable prior influences of signal probability and relevance on visual contrast sensitivity
Wyart, V., Nobre, A. C., & Summerfield, C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120118109 · Cited by 268
Disentangling visual imagery and perception of real-world objects
Lee, S.-H., Kravitz, D. J., & Baker, C. I. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.055 · Cited by 263
Prior expectations bias sensory representations in visual cortex
Kok, P., Brouwer, G. J., van Gerven, M. A. J., & de Lange, F. P. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0742-13.2013 · Cited by 260
Self-citationLinking pattern completion in the hippocampus to predictive coding in visual cortex
Hindy, N. C., Ng, F. Y., & Turk-Browne, N. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4284 · Cited by 246
Cross-orientation suppression in human visual cortex
Brouwer, G. J., & Heeger, D. J. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00540.2011 · Cited by 226
Attentional Modulation of Alpha/Beta and Gamma Oscillations Reflect Functionally Distinct Processes
Bauer, M., Stenner, M.-P., Friston, K. J., & Dolan, R. J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3474-13.2014 · Cited by 224
The Optical Society of America
Priest, I. G. (1923) · Science · doi:10.1126/science.58.1509.451 · Cited by 216
Online and offline tools for head movement compensation in MEG
Stolk, A., Todorović, A., Schoffelen, J., & Oostenveld, R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.047 · Cited by 209
Shape-specific preparatory activity mediates attention to targets in human visual cortex
Stokes, M. G., Thompson, R., Nobre, A. C., & Duncan, J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905306106 · Cited by 203
Serial Dependence in Perceptual Decisions Is Reflected in Activity Patterns in Primary Visual Cortex
John-Saaltink, E. S., Kok, P., Lau, H. C., & de Lange, F. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4390-15.2016 · Cited by 195
Self-citationTangential derivative mapping of axial MEG applied to event-related desynchronization research
BASTIAANSEN, M. C. M., & Knösche, T. R. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00272-8 · Cited by 188
Reinstatement of associative memories in early visual cortex is signaled by the hippocampus
Bosch, S. E., Jehee, J. F. M., Fernández, G., & Doeller, C. F. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0805-14.2014 · Cited by 157
SanMiguel, I., Widmann, A., Bendixen, A., Trujillo‐Barreto, N. J., & Schröger, E. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5821-12.2013 · Cited by 149
Decoding and reconstructing color from responses in human visual cortex
Brouwer, G. J., & Heeger, D. J. (2010) · Journal of Vision · doi:10.1167/9.8.365 · Cited by 128
Testing sensory evidence against mnemonic templates
Myers, N. E., Rohenkohl, G., Wyart, V., Woolrich, M. W., Nobre, A. C., & Stokes, M. G. (2015) · eLife · doi:10.7554/elife.09000 · Cited by 124
Rapidly learned stimulus expectations alter perception of motion
Chalk, M., Seitz, A. R., & Series, P. (2010) · Journal of Vision · doi:10.1167/10.8.2 · Cited by 122
Near-Real-Time Feature-Selective Modulations in Human Cortex
Garcia, J. O., Srinivasan, R., & Serences, J. T. (2013) · Current Biology · doi:10.1016/j.cub.2013.02.013 · Cited by 121
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Bell, A. H., Summerfield, C., Morin, E. L., Malecek, N. J., & Ungerleider, L. G. (2016) · Current Biology · doi:10.1016/j.cub.2016.07.007 · Cited by 118
Rao, V., DeAngelis, G. C., & Snyder, L. H. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5948-11.2012 · Cited by 110
Feature-Based Attention and Feature-Based Expectation
Summerfield, C., & Egner, T. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.008 · Cited by 104
Dissociating sensory from decision processes in human perceptual decision making
Mostert, P., Kok, P., & de Lange, F. P. (2015) · Scientific Reports · doi:10.1038/srep18253 · Cited by 95
Self-citationEstimating perception of scene layout properties from global image features
Ross, M. G., & Oliva, A. (2010) · Journal of Vision · doi:10.1167/10.1.2 · Cited by 85
Cichy, R. M., Ramírez, F., & Pantazis, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.011 · Cited by 79
Learning of anticipatory responses in single neurons of the human medial temporal lobe
Reddy, L., Poncet, M., Self, M. W., Peters, J. C., Douw, L., van Dellen, E., Claus, S., Reijneveld, J. C., Baayen, J. C., & Roelfsema, P. R. (2015) · Nature Communications · doi:10.1038/ncomms9556 · Cited by 54 · cited 1×
“(28) reported anticipatory firing to expected stimuli in the medial temporal lobe, including the hippocampus.”
BackgroundAnticipatory Cortical Activation Precedes Auditory Events in Sleeping Infants
Nakano, T., Homae, F., Watanabe, H., & Taga, G. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003912 · Cited by 39
Spontaneous Activity Patterns in Primary Visual Cortex Predispose to Visual Hallucinations
Pajani, A., Kok, P., Kouider, S., & de Lange, F. P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1520-15.2015 · Cited by 35
Self-citationLocal expectation violations result in global activity gain in primary visual cortex
Kok, P., van Lieshout, L. L. F., & de Lange, F. P. (2016) · Scientific Reports · doi:10.1038/srep37706 · Cited by 24
Self-citationThe Role of Working Memory in the Probabilistic Inference of Future Sensory Events
Cashdollar, N. M., Ruhnau, P., Weisz, N., & Hasson, U. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw138 · Cited by 19
Cortico-hippocampal communication by way of parallel parahippocampal-subicular pathways.
Lavenex (2000) · Pure Amsterdam UMC · doi:10.1002/1098-1063(2000)10:4 · Cited by 1
Cited by
Sorted by citations
How Do Expectations Shape Perception?
de Lange, F. P., Heilbron, M., & Kok, P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.06.002 · Cited by 975
Self-citationShared Neural Mechanisms of Visual Perception and Imagery
Dijkstra, N., Bosch, S., & van Gerven, M. A. J. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.02.004 · Cited by 445
Evaluating the neurophysiological evidence for predictive processing as a model of perception
Walsh, K. S., McGovern, D. P., Clark, A., & O'Connell, R. G. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14321 · Cited by 333
The Perceptual Prediction Paradox
Press, C., Kok, P., & Yon, D. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.11.003 · Cited by 285
Self-citationThe power of predictions: An emerging paradigm for psychological research
Hutchinson, J. B., & Barrett, L. F. (2019) · Current Directions in Psychological Science · doi:10.1177/0963721419831992 · Cited by 216
Metadata
- Authors
- Kok, P., Mostert, P., & de Lange, F. P.
- Affiliations
- Radboud University Nijmegen (NL)
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN Nijmegen, The Netherlands;
- Corresponding author
- Kok, Peter
- ORCID
- Kok, Peter
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-09-12
- Volume
- 114
- Issue
- 39
- Pages
- 10473-10478
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5625909
- OpenAlex
- W2949604146
- Cited by
- 340
- References
- 68
- Citations by year
- 2026: 31 · 2025: 49 · 2024: 50 · 2023: 46 · 2022: 32 · 2021: 37 · 2020: 44 · 2019: 35 · 2018: 14 · 2017: 2
- FWCI
- 14.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Rubicon 446-15-004, VIDI 452-13-016)
- James S. McDonnell Foundation (220020373)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- top-down expectations, pre-activation, sensory cortex, top-down modulation, multivariate decoding, task-relevant features
- MeSH terms
- Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Photic Stimulation, Somatosensory Cortex, Visual Cortex, Visual Perception, Magnetoencephalography
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