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
Cited by
Sorted by citations
Items 201–300 of 339
Alpha oscillations shape sensory representation and perceptual sensitivityPreprint
Zhou, Y. J., Iemi, L., Schoffelen, J., de Lange, F. P., & Haegens, S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.02.429418 · Cited by 3
Aitken, F., & Kok, P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.21.461228 · Cited by 3
Self-citationPrior information enhances tactile representation in primary somatosensory cortexPreprint
Kassraian, P., Rabe, F., Enz, N., Maathuis, M. H., & Wenderoth, N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.10.511201 · Cited by 3
Unreal? A Behavioral, Physiological, and Computational Model of the Sense of RealityPreprint
Drori, G., Bar-Tal, P., Hirsh, O., berlinger, A., Goldberg, N., Zvilichovsky, Y., Hertz, U., Zaidel, A., & Salomon, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.07.647542 · Cited by 3
Neural signatures of predictive coding underlying the acquisition of incidental sensory associationsPreprint
Greco, A., Rastelli, C., Bonetti, L., Braun, C., & Carìa, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.16.654429 · Cited by 4
Prior probability cues bias sensory encoding with increasing task exposure
Walsh, K. S., McGovern, D. P., Dully, J., Kelly, S. P., & O’Connell, R. G. (2024) · eLife · doi:10.7554/elife.91135.3 · Cited by 2
Context-dependent neural preparation for information relevance vs. probability
Peñalver, J. M. G., González-García, C., Palenciano, A. F., López-García, D., & Ruz, M. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00302 · Cited by 2
Costa, C., Scarpazza, C., & Filippini, N. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0872-24.2024 · Cited by 2
Zheng, Z., Trübutschek, D., Huang, S., Cai, Y., & Melloni, L. (2025) · Cognition · doi:10.1016/j.cognition.2025.106104 · Cited by 3
Neural mechanisms of attention, not expectation, govern spatial selection by probabilistic cueing
Sunder, S., Rajendran, K., Biswas, M., & Sridharan, D. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121412 · Cited by 2
Bai, S., Menétrey, M. Q., & Pascucci, D. (2026) · iScience · doi:10.1016/j.isci.2026.114697 · Cited by 2
Temporal predictions as motor readouts of sensory predictions
Kaltenmaier, A., Gehmacher, Q., Kok, P., Davis, M. H., & Press, C. (2026) · Current Biology · doi:10.1016/j.cub.2026.02.005 · Cited by 3
Self-citationSalgado, C., Sturm, S., Via, M., & SanMiguel, I. (2026) · Hearing Research · doi:10.1016/j.heares.2026.109675 · Cited by 2
Infants’ top-down perceptual modulation is specific to own-race faces
Xiao, N. G., Ghersin, H., Dombrowski, N. D., Boldin, A. M., & Emberson, L. L. (2024) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2024.105889 · Cited by 2
Neural mechanisms underpinning metacognitive shifts driven by non-informative predictions
Liu, C., Martinez‐Saito, M., & Yu, R. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120670 · Cited by 2
Neural Evidence for Action-Related Somatosensory Predictions
Moran, C., Hogendoorn, H., & Landau, A. N. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.0889-25.2026 · Cited by 2
Haarsma, J., & Kok, P. (2025) · Current topics in behavioral neurosciences · doi:10.1007/7854_2025_595 · Cited by 2
Self-citationUnraveling the Neural Mechanisms Which Encode Rapid Streams of Visual Input
Turner, W. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2013-21.2021 · Cited by 2
Behavioral and Neural Fusion of Expectation with Sensation
Panichello, M. F., & Turk‐Browne, N. B. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01684 · Cited by 2
Content-based dissociation of hippocampal involvement in predictionPreprint
Kok, P., Rait, L. I., & Turk‐Browne, N. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/568303 · Cited by 2
Self-citationTang, M. F., Arabzadeh, E., & Mattingley, J. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/574905 · Cited by 3
Mismatch Negativity Predicts Pattern SeparationPreprint
Herman, D., Baker, S., Cazes, J., Alain, C., & Rosenbaum, R. S. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.19.102707 · Cited by 2
Preparatory attention incorporates contextual expectationsPreprint
Gayet, S., & Peelen, M. V. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.17.464696 · Cited by 2
Network predictions sharpen the representation of visual features for categorizationPreprint
Yan, Y., Zhan, J., Ince, R. A. A., & Schyns, P. G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.01.498431 · Cited by 2
Prior probability cues bias sensory encoding with increasing task exposurePreprint
Walsh, K. S., McGovern, D. P., Dully, J., Kelly, S. P., & O’Connell, R. G. (2024) · eLife · doi:10.7554/elife.91135.2 · Cited by 2
Characterizations of Voluntary and Involuntary Imagery in AphantasiaPreprint
Duan, S., Yang, Y., Li, K., & Zhao, B. (2024) · doi:10.31219/osf.io/n6xpr · Cited by 2
Buhmann, Z., Robinson, A. K., Mattingley, J. B., & Rideaux, R. (2024) · eLife · doi:10.7554/elife.97230.2 · Cited by 2
The influence of temporal context on vision over multiple time scalesPreprint
Lee, K.-H., & Rideaux, R. (2025) · eLife · doi:10.7554/elife.106614 · Cited by 2
Dual representation of lexical uncertainty in human cortexPreprint
Guilleminot, P. H., & Morillon, B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.08.669343 · Cited by 4
Influence of «sensory prehistory» on the ambiguous stimuli processing in the human brain
Kuc, A. K., Maksimenko, V., & Hramov, A. (2022) · Izvestiya VUZ Applied Nonlinear Dynamics · doi:10.18500/0869-6632-2022-30-1-57-75 · Cited by 1
Niraula, S., Hauser, W. L., Rouse, A. G., & Subramanian, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-47957-1 · Cited by 1
Prediction-based false memory: Unconfirmed prediction can result in robust false memories
Bulatova, O., & Fukuda, K. (2024) · Cognition · doi:10.1016/j.cognition.2024.106013 · Cited by 2
‘Some like it cold’. On the association between the physical and affective notion of warmth
Daprati, E., Marrocco, G., & Nico, D. (2025) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218251329230 · Cited by 1
No evidence of neural feature-specific pre-activation during the prediction of an upcoming stimulus
Abdoun, O., Todorov, D., Poublan‐Couzardot, A., Tirou, C., Antoine Lutz, A., Vernet, M., & Quentin, R. (2026) · Nature Communications · doi:10.1038/s41467-026-73568-1 · Cited by 1
Probabilistic processing: Possible, probable, or preposterous? A dialectical essay
Loued‐Khenissi, L., & Pascucci, D. (2025) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2025.101212 · Cited by 2
Effort expectation and strategic cue use in visual search
Han, S., Tünnermann, J., Hornung, S. K., & Schubö, A. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01358-1 · Cited by 1
Marginalized Living and Disabling Spaces: A Bio-Cognitive Perspective
Candeloro, G., Tartari, M., Varveri, R., D’Ignazio, M., Mastrolonardo, L., & Sacco, P. L. (2025) · Land · doi:10.3390/land14112234 · Cited by 2
Conjunctive population coding integrates sensory evidence to guide adaptive behavior
Terlau, J., Ethofer, S., Naros, G., Fonken, Y. M., Lin, J. J., Knight, R. T., & Helfrich, R. F. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2520444122 · Cited by 1
The heart knows you are wrong: Heart rate modulations associated with perceptual errors
Cobos, M. I., Guerra, P. M., & Chica, A. B. (2026) · Biological Psychology · doi:10.1016/j.biopsycho.2026.109204 · Cited by 1
Buhmann, Z., Robinson, A. K., Mattingley, J. B., & Rideaux, R. (2024) · eLife · doi:10.7554/elife.97230.3 · Cited by 7
Liu, C., Liang, X., Meng, X., Cheng, N., Lu, S., Bai, L., Song, B., Lu, C., & Wang, Z. (2026) · Brain and Behavior · doi:10.1002/brb3.71414 · Cited by 1
Hou, Y., Laamerad, P., Liu, L. D., & Pack, C. C. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003873 · Cited by 2
Organizational Cognitive Neuroscience: A New Frontier for Magnetoencephalography
Braeutigam, S., Lee, N. J., & Senior, C. (2019) · Springer eBooks · doi:10.1007/978-3-319-62657-4_35-1 · Cited by 1
Lee, S.-M., Raykov, P., & Greve, A. (2023) · Brain and Neuroscience Advances · doi:10.1177/23982128231200722 · Cited by 1
A review and perspective on the neural basis of radiological expertise
Chang, R., Elyan, R., Ahmed, B., & Karunanayaka, P. (2023) · Journal of Clinical Imaging Science · doi:10.25259/jcis_135_2022 · Cited by 1
Diaz, J. A., Pisauro, M. A., Delis, I., & Philiastides, M. G. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00338 · Cited by 2
The influence of temporal context on vision over multiple time scales
Lee, K.-H., & Rideaux, R. (2025) · eLife · doi:10.1101/2024.10.27.620542 · Cited by 1
The interplay of uncertainty, relevance and learning influences auditory categorization
Sheth, J. K., Collina, J. S., Piasini, E., Kording, K. P., Cohen, Y. E., & Geffen, M. N. (2025) · Scientific Reports · doi:10.1038/s41598-025-86856-5 · Cited by 2
Huang, Y., & Li, Y. (2025) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2025.1551555 · Cited by 1
Expectations about dynamic visual objects facilitates early sensory processing of congruent sounds
Marin, A., Störmer, V. S., & Carver, L. J. (2021) · Cortex · doi:10.1016/j.cortex.2021.08.006 · Cited by 2
The neural representations underlying asymmetric cross‐modal prediction of words
Shi, L., Liu, C., Peng, X., Cao, Y., Levy, D. A., & Xue, G. (2023) · Human Brain Mapping · doi:10.1002/hbm.26219
Expectancy Violation in Visual Perception: Characterising the Brain Signals of Prediction Error
Robinson, J. (2018) · Queensland University of Technology · doi:10.5204/thesis.eprints.123710 · Cited by 1
Stimulus reliability automatically biases temporal integration of discrete perceptual targetsPreprint
Rangelov, D., West, R. K., & Mattingley, J. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/841353 · Cited by 1
Receptors, Circuits and Neural Dynamics for PredictionPreprint
Mohanta, S., Afrasiabi, M., Casey, C., Tanabe, S., Redinbaugh, M. J., Kambi, N. A., Phillips, J. M., Polyakov, D., Filbey, W., Austerweil, J. L., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3659396 · Cited by 1
Introduction to special issue on “Prediction in Perception and Action”
Hayhoe, M., Fiehler, K., Spering, M., Brenner, E., & Gegenfurtner, K. R. (2020) · Journal of Vision · doi:10.1167/jov.20.2.8 · Cited by 1
Decoding Predictions and Violations of Object Position and Category in Time-resolved EEGPreprint
Whyte, C. J., Robinson, A. K., Grootswagers, T., Hogendoorn, H., & Carlson, T. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.08.032888 · Cited by 1
High-level stimulus template modulates neuronal response at the earlier processing stagesPreprint
Maksimenko, V., Kuc, A. K., Frolov, N. S., Kurkin, S., & Hramov, A. E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.14.041202 · Cited by 1
Visual mismatch responses index surprise signalling but not expectation suppressionPreprint
Feuerriegel, D., Yook, J., Quek, G. L., Hogendoorn, H., & Bode, S. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.23.168187 · Cited by 1
Conceptual associations generate sensory predictionsPreprint
Yan, C., de Lange, F. P., & Richter, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.02.506283 · Cited by 1
Neural representation strength of predicted category features biases decision behaviorPreprint
Yan, Y., Zhan, J., Garrod, O., Cui, X., Ince, R. A. A., & Schyns, P. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.05.539587 · Cited by 1
Prior information enhances tactile representation in primary somatosensory cortexPreprint
Kassraian, P., Rabe, F., Enz, N., Maathuis, M. H., & Wenderoth, N. (2023) · doi:10.7554/elife.89049 · Cited by 2
Prior information enhances tactile representation in primary somatosensory cortexPreprint
Kassraian, P., Rabe, F., Enz, N., Maathuis, M. H., & Wenderoth, N. (2023) · doi:10.7554/elife.89049.1 · Cited by 2
Wang, L., Eddine, S. N., Brothers, T. A., Jensen, O. B., & Kuperberg, G. R. (2024) · Research Square · doi:10.21203/rs.3.rs-3641593/v1 · Cited by 1
Neural representations of predicted events: Evidence from time-resolved EEG decodingPreprint
Li, A.-S., Theeuwes, J., & van Moorselaar, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.05.574347 · Cited by 1
Neural representations of predicted events: Evidence from time-resolved EEG decodingPreprint
Li, A.-S., Theeuwes, J., & van Moorselaar, D. (2024) · eLife · doi:10.7554/elife.95837 · Cited by 1
Predictive processing in neuroscience, computational modeling and psychology
Brucklacher, M., Lee, K., Moreni, G., Mejías, J. F., Bohté, S. M., & Pennartz, C. M. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00201-1 · Cited by 2
Huang, L., Shen, S., Sun, Y., Ou, S., Zhang, R., de Lange, F. P., & Zhang, X. (2025) · eLife · doi:10.1101/2024.08.26.609781 · Cited by 1
Dissociable dynamic effects of expectation during statistical learningPreprint
McDermott, H. H., Martino, F. D., Schwiedrzik, C. M., & Auksztulewicz, R. (2024) · eLife · doi:10.7554/elife.103689 · Cited by 3
Prior Information Shapes Perceptual Evidence Accumulation Dynamics Differentially in PsychosisPreprint
Franzen, L., Eickhoff, S., Andreou, C., Delis, I., Erb, J., Kreitewolf, J., Lencer, R., Lange, C., Schmitt, L., Schewe, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.03.662942 · Cited by 1
The influence of temporal context on vision over multiple time scalesPreprint
Lee, K.-H., & Rideaux, R. (2025) · eLife · doi:10.7554/elife.106614.1 · Cited by 1
Bai, S., Menétrey, M. Q., & Pascucci, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.16.682933 · Cited by 1
Neural Mediators of Altered Perceptual Choice and Confidence Using Social InformationPreprint
Roy, T. S., Giri, B. K., Chowdhury, A. S., Mazumder, S., & Das, K. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/516963
Representational dynamics across multiple timescales in human cortical networks
Wen, T. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.47653
Modelling and Measuring the Predictive Brain
Whyte, C. J. (2020) · The Sydney eScholarship Repository (The University of Sydney)
Effect of prehistory on the ambiguous stimuli processing in the human brain
Kuc, A. K. (2021) · Scientific School Dynamics of Complex Networks and their Applications (DCNA) · doi:10.1109/dcna53427.2021.9586879
Contextual expectancy, prior belief, and prediction error in early stage visual processing
Overell, A. M. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.229732
Kuc, A. K., & Maksimenko, V. (2022) · Computational Biophysics and Nanobiophotonics · doi:10.1117/12.2626391
Organizational Cognitive Neuroscience: A New Frontier for Magnetoencephalography
Braeutigam, S., Lee, N. J., & Senior, C. (2019) · Springer eBooks · doi:10.1007/978-3-030-00087-5_35
The perceptual nature of illusory object recognitionPreprint
Alilović, J., Lampers, E., Slagter, H. A., & van Gaal, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.16.476617
Xiao, N. G., & Emberson, L. L. (2023) · doi:10.31234/osf.io/5skr2
Moyal, R., Bhamani, C., & Edelman, S. (2023) · Cognition · doi:10.1016/j.cognition.2023.105506
Prior probability cues bias sensory encoding with increasing task exposurePreprint
Walsh, K. S., McGovern, D. P., Dully, J., Kelly, S. P., & O’Connell, R. G. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.15.549123
Brain networks involved in deviance and novelty detection: Are they sensory modality specific?
Eggermont, J. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15548-2.00010-7
He, T., Gong, X., Wang, Q., Zhu, X., Liu, Y., & Fang, F. (2025) · eLife · doi:10.7554/elife.101511.4
Dynamic reduction of neural uncertainty regulates perceptual decisions in a Bayes-optimal mannerPreprint
Rangelov, D., Bitzer, S., & Mattingley, J. B. (2023) · Research Square · doi:10.21203/rs.3.rs-3409042/v1
Prior probability cues bias sensory encoding with increasing task exposurePreprint
Walsh, K. S., McGovern, D. P., Dully, J., Kelly, S. P., & O’Connell, R. G. (2023) · eLife · doi:10.7554/elife.91135.1
Sixty years of predictive perception
Ward, E. K., & Press, C. (2023) · Cortex · doi:10.1016/j.cortex.2023.11.003
The effects of prediction error on episodic memory
Turan, G. (2023) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · doi:10.21248/gups.81682
Prediction-Based False Memory: Predictions Alone Can Result in Robust False MemoriesPreprint
Bulatova, O., & Fukuda, K. (2024) · doi:10.31234/osf.io/5fb9q
Zheng, Z., Trübutschek, D., Huang, S., Cai, Y., & Melloni, L. (2024) · doi:10.31234/osf.io/9dysm
The Breeze of Statistical Learning on Visual Search
Huang, C. (2024) · doi:10.5463/thesis.666
Neural representation of consciously seen and unseen informationPreprint
Esteban, P. R.-S., Chica, A. B., & López, J. A. G. (2024) · doi:10.31234/osf.io/mnfpv
Huang, C., van Moorselaar, D., Foster, J. J., et al. (2024) · eLife · doi:10.7554/elife.98304.1.sa1
eLife Assessment: Pinging the Hidden Attentional Priority Map: Suppression Needs Attention
Peelen, M. V. (2024) · eLife · doi:10.7554/elife.98304.1.sa3
Huang, C., van Moorselaar, D., Foster, J. J., et al. (2024) · eLife · doi:10.7554/elife.98304.1.sa0
Huang, C., van Moorselaar, D., Foster, J. J., et al. (2024) · eLife · doi:10.7554/elife.98304.1.sa2
Dissociable dynamic effects of expectation during statistical learning
McDermott, H. H., Martino, F. D., Schwiedrzik, C. M., & Auksztulewicz, R. (2026) · eLife · doi:10.1101/2024.09.05.611380 · Cited by 1
FEATURE-SPECIFIC ANTICIPATORY PROCESSING FADES DURING HUMAN SLEEPPreprint
Topalidis, P. I., Reisinger, L., Shubert, J., Ameen, M. S., Weisz, N., & Schabus, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.16.613294
He, T., Gong, X., Wang, Q., Zhu, X., Liu, Y., & Fang, F. (2024) · eLife · doi:10.7554/elife.101511
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
