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
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 339
Preparatory attention to visual features primarily relies on non-sensory representation
Gong, M., Chen, Y., & Liu, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-26104-2 · Cited by 19
Alilović, J., Lampers, E., Slagter, H. A., & van Gaal, S. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002009 · Cited by 16
Temporal prediction elicits rhythmic preactivation of relevant sensory cortices
Barne, L. C., Cravo, A. M., de Lange, F. P., & Spaak, E. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15405 · Cited by 17
Wen, W., Huang, Z., Hou, Y., & Li, S. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1705-21.2022 · Cited by 17
Affective integration in experience, judgment, and decision-making
Asutay, E., & Västfjäll, D. (2024) · Communications Psychology · doi:10.1038/s44271-024-00178-2 · Cited by 26
Auditory and Semantic Cues Facilitate Decoding of Visual Object Category in MEG
Brandman, T., Avancini, C., Leticevscaia, O., & Peelen, M. V. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz110 · Cited by 15
Statistical Learning Within Objects
van Moorselaar, D., & Theeuwes, J. (2023) · Psychological Science · doi:10.1177/09567976231154804 · Cited by 18
Testing the generalization of neural representations
Sandhaeger, F., & Siegel, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120258 · Cited by 13
Feuerriegel, D., Blom, T., & Hogendoorn, H. (2020) · Cortex · doi:10.1016/j.cortex.2020.12.008 · Cited by 15
How spatial attention alters visual cortical representation during target anticipationPreprint
Tünçok, E., Carrasco, M., & Winawer, J. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.02.583127 · Cited by 15
Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process
Xu, M., Meng, J., Yu, H., Jung, T., & Ming, D. (2020) · Neuroscience Bulletin · doi:10.1007/s12264-020-00527-1 · Cited by 15
Prefrontal Cortex Codes Representations of Target Identity and Feature Uncertainty
Witkowski, P. P., & Geng, J. J. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1117-23.2023 · Cited by 13
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. (2023) · eLife · doi:10.7554/elife.91135 · Cited by 21
Costa, C., Pezzetta, R., Masina, F., Lago, S., Gastaldon, S., Frangi, C., Genon, S., Arcara, G., & Scarpazza, C. (2024) · Human Brain Mapping · doi:10.1002/hbm.26817 · Cited by 18
Touch anticipation mediates cross-modal Hebbian plasticity in the primary somatosensory cortex
Maddaluno, O., Guidali, G., Zazio, A., Miniussi, C., & Bolognini, N. (2020) · Cortex · doi:10.1016/j.cortex.2020.01.008 · Cited by 15
Hu, S., Hall, D. A., Zubler, F., Sznitman, R., Anschuetz, L., Caversaccio, M. D., & Wimmer, W. (2021) · Hearing Research · doi:10.1016/j.heares.2021.108338 · Cited by 13
Blank, H., Alink, A., & Büchel, C. (2023) · Communications Biology · doi:10.1038/s42003-023-04508-8 · Cited by 15
Top-down specific preparatory activations for selective attention and perceptual expectations
Peñalver, J. M. G., López-García, D., González‐García, C., Aguado-López, B., Górriz, J. M., & Ruz, M. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119960 · Cited by 15
Can the Fermionic Mind Hypothesis (FMH) Explain Consciousness? The Physics of Selfhood
Deli, E. K. (2020) · Activitas Nervosa Superior · doi:10.1007/s41470-020-00070-4 · Cited by 6
Oculomotor freezing indicates conscious detection free of decision bias
White, A. L., Moreland, J. C., & Rolfs, M. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00465.2021 · Cited by 20
Effects of satisfying and violating expectations on serial dependence
Abreo, S., Gergen, A., Gupta, N., & Samaha, J. (2023) · Journal of Vision · doi:10.1167/jov.23.2.6 · Cited by 12
Noviello, S., Kamari, S., Deng, Z., Zheng, C., Chen, J., Pisani, A., Franchin, E., Pierotti, E., Tonolli, E., Monaco, S., et al. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108746 · Cited by 10
Pre-stimulus alpha oscillations encode stimulus-specific visual predictionsPreprint
Hetenyi, D., Haarsma, J., & Kok, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.13.584593 · Cited by 12
Self-citationThe Neural Representation of a Repeated Standard Stimulus in Dyslexia
Beach, S. D., Ozernov‐Palchik, O., May, S. C., Centanni, T. M., Perrachione, T. K., Pantazis, D., & Gabrieli, J. D. E. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.823627 · Cited by 11
Interdependence of “What” and “When” in the Brain
ten Oever, S., & Martin, A. E. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02067 · Cited by 13
Canonical template tracking: Measuring the activation state of specific neural representations
Palenciano, A. F., Senoussi, M., Formica, S., & González‐García, C. (2023) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2022.974927 · Cited by 8
Temporal uncertainty enhances suppression of neural responses to predictable visual stimuli
Nara, S., Lizarazu, M., Richter, C. G., Dima, D. C., Cichy, R. M., Bourguignon, M., & Molinaro, N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118314 · Cited by 10
Rangelov, D., West, R. K., & Mattingley, J. B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2459-20.2021 · Cited by 13
Preparatory delta phase response is correlated with naturalistic speech comprehension performance
Li, J., Hong, B., Nolte, G., Engel, A. K., & Zhang, D. (2021) · Cognitive Neurodynamics · doi:10.1007/s11571-021-09711-z · Cited by 11
Neural mechanisms of learned suppression uncovered by probing the hidden attentional priority mapPreprint
Huang, C., van Moorselaar, D., Foster, J. J., Donk, M., & Theeuwes, J. (2024) · eLife · doi:10.7554/elife.98304.3 · Cited by 16
Violated predictions enhance the representational fidelity of visual features in perception
Rideaux, R., Dang, P., Jackel-David, L., Buhmann, Z., Rangelov, D., & Mattingley, J. B. (2025) · Journal of Vision · doi:10.1167/jov.25.4.14 · Cited by 10
Beyond the Adult Mind: A Developmental Framework for Predictive Processing in Infancy
Ward, E. K., Rutar, D., Zaadnoordijk, L., Poli, F., & Hunnius, S. (2025) · Topics in Cognitive Science · doi:10.1111/tops.70028 · Cited by 8
Notaro, G., van Zoest, W., Altman, M., Melcher, D., & Hasson, U. (2019) · Journal of Vision · doi:10.1167/19.2.8 · Cited by 12
Recovery of information from latent memory stores decreases over time
Nouri, A., & Ester, E. F. (2019) · Cognitive Neuroscience · doi:10.1080/17588928.2019.1617258 · Cited by 10
Understanding music and aging through the lens of Bayesian inference
Heng, G. J., Zhang, J., Bonetti, L., Lim, W. P. H., Vuust, P., Agres, K., & Chen, S. A. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105768 · Cited by 9
Guan, S.-C., & Goettker, A. (2024) · Journal of Vision · doi:10.1167/jov.24.12.2 · Cited by 9
Modelling decision-making biases
Cerracchio, E., Miletić, S., & Forstmann, B. U. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1222924 · Cited by 14
Strength of predicted information content in the brain biases decision behavior
Yan, Y., Zhan, J., Garrod, O., Cui, X., Ince, R. A. A., & Schyns, P. G. (2023) · Current Biology · doi:10.1016/j.cub.2023.10.042 · Cited by 12
Takotsubo syndrome: How the broken heart deals with negative emotions
Klein, C., Leipold, S., Ghadri, J. R., Jurisic, S., Hiestand, T., Hänggi, J., Lüscher, T. F., Jäncke, L., & Templin, C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102124 · Cited by 10
Real-world expectations and their affective value modulate object processing
Caplette, L., Gosselin, F., Mermillod, M., & Wicker, B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116736 · Cited by 9
Stimulus uncertainty affects perception in human echolocation: Timing, level, and spectrum.
Norman, L. J., & Thaler, L. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000775 · Cited by 10
Park, S., & Serences, J. T. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00300.2021 · Cited by 11
How the Brain Becomes the Mind: Can Thermodynamics Explain the Emergence and Nature of Emotions?
Déli, É., Peters, J. F., & Kisvárday, Z. F. (2022) · Entropy · doi:10.3390/e24101498 · Cited by 10
Tang, M. F., Ford, L., Arabzadeh, E., Enns, J. T., Visser, T. A. W., & Mattingley, J. B. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/595355 · Cited by 9
The promise of layer-specific neuroimaging for testing predictive coding theories of psychosisPreprint
Haarsma, J., Kok, P., & Browning, M. D. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/5p64f · Cited by 9
Self-citationTime-Based Binding as a Solution to and a Limitation for Flexible Cognition
Senoussi, M., Verbeke, P., & Verguts, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.798061 · Cited by 10
Imagery in wild birds: Retrieval of visual information from referential alarm calls
Suzuki, T. N. (2019) · Learning & Behavior · doi:10.3758/s13420-019-00374-9 · Cited by 8
Neural tuning instantiates prior expectations in the human visual systemPreprint
Harrison, W. J., Bays, P. M., & Rideaux, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.26.525790 · Cited by 8
Pre-stimulus beta power mediates explicit and implicit perceptual biases in distinct cortical areas
Forster, C., Stephani, T., Grund, M., Panagoulas, E., Al, E., Hofmann, S., Nikulin, V. V., & Villringer, A. (2025) · Communications Psychology · doi:10.1038/s44271-025-00265-y · Cited by 8
Haarsma, J., Kaltenmaier, A., Fleming, S. M., & Kok, P. (2024) · Cognition · doi:10.1016/j.cognition.2024.105961 · Cited by 7
Self-citationHan, B., Zhang, Y., Shen, L., Mo, L., & Chen, Q. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac165 · Cited by 8
Dual counterstream architecture may support separation between vision and predictions
Marić, M., & Domijan, D. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103375 · Cited by 7
Yan, Y., Zhan, J., Ince, R. A. A., & Schyns, P. G. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0156-23.2023 · Cited by 8
Long- and short-term history effects in a spiking network model of statistical learning
Maes, A., Barahona, M., & Clopath, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-39108-3 · Cited by 5
An enhanced inverted encoding model for neural reconstructionsPreprint
Scotti, P. S., Chen, J., & Golomb, J. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.22.445245 · Cited by 6
Suzuki, T. N. (2024) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev-ecolsys-102622-030253 · Cited by 6
Zhu, J., Tian, K. J., Carrasco, M., & Denison, R. N. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae535 · Cited by 6
den Ouden, C., Kashyap, M., Kikkawa, M., & Feuerriegel, D. (2025) · Psychophysiology · doi:10.1111/psyp.70076 · Cited by 12
Predictive processing in biological motion perception: Evidence from human behavior
Elmas, H. O., Er, S., Rezaki, A. D., İzgi, A., Ürgen, B. M., Boyacı, H., & Ürgen, B. A. (2025) · Perception · doi:10.1177/03010066251355391 · Cited by 6
Predictive cues reduce but do not eliminate intrinsic response bias
Hu, M., & Rahnev, D. (2019) · Cognition · doi:10.1016/j.cognition.2019.06.016 · Cited by 6
Neural Signatures of Learning Novel Object–Scene Associations
Smith, C. M., & Federmeier, K. D. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01530 · Cited by 8
Neural response and representation: Facial expressions in scenes
Cao, F., Zeng, K., Zheng, J., Yu, L., Liu, S., Zhang, L., & Xu, Q. (2022) · Psychophysiology · doi:10.1111/psyp.14184 · Cited by 6
Updating perceptual expectations as certainty diminishes
Thomas, E. R., Rittershofer, K., & Press, C. (2022) · Cognition · doi:10.1016/j.cognition.2022.105356 · Cited by 5
The QBIT Theory: Consciousness from Entangled Qubits
Beshkar, M. (2022) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-022-09745-w · Cited by 6
How Our Perception and Confidence Are Altered Using Decision Cues
Roy, T. S., Giri, B. K., Chowdhury, A. S., Mazumder, S., & Das, K. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01371 · Cited by 4
Action enhances predicted touchPreprint
Thomas, E. R., Yon, D., de Lange, F. P., & Press, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.26.007559 · Cited by 6
Mnemonic prediction errors promote detailed memoriesPreprint
Bein, O., Plotkin, N. A., & Davachi, L. (2021) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/b5z8a · Cited by 7
Traveling waves shape neural population dynamics enabling predictions and internal model updatingPreprint
Mohanta, S., Cleveland, D., Afrasiabi, M., Rhone, A. E., Górska, U., Borkenhagen, M. J. C., Sanders, R. D., Boly, M., Nourski, K. V., & Saalmann, Y. B. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.09.574848 · Cited by 7
Neural representation of consciously seen and unseen information
Esteban, P. R.-S., González, J. A., & Chica, A. B. (2025) · Scientific Reports · doi:10.1038/s41598-025-92490-y · Cited by 6
Spatial attention selectively alters visual cortical representation during target anticipation
Tünçok, E., Carrasco, M., & Winawer, J. A. (2025) · Nature Communications · doi:10.1038/s41467-025-63795-3 · Cited by 23
Evidence for predictions established by phantom sound
Qi, Y., Guo, Z.-H., Guo, X., Guan, R., Luo, B., Sun, J., Wang, M., Li, H., & Chen, L. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119766 · Cited by 5
Shen, L., Wu, Z., Yue, Z., Li, B., Chen, Q., & Han, B. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0263-23.2023 · Cited by 5
Neural Mechanisms Determining the Duration of Task-free, Self-paced Visual Perception
Baror, S., Baumgarten, T. J., & He, B. J. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02131 · Cited by 6
Xiao, N. G., & Emberson, L. L. (2023) · Psychological Science · doi:10.1177/09567976231177968 · Cited by 5
Greco, A., D’Alessandro, M., Gallitto, G., Rastelli, C., Braun, C., & Carìa, A. (2024) · Biology · doi:10.3390/biology13080576 · Cited by 5
Biased perception and learning in pain
Wiech, K. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0468-3 · Cited by 5
Cobos, M. I., & Chica, A. B. (2022) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218221089625 · Cited by 5
Frontal-to-visual information flow explains predictive motion tracking
Son, S., Moon, J., Kim, Y., Kang, M.-S., & Lee, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119914 · Cited by 5
Tang, M. F., Smout, C., Arabzadeh, E., & Mattingley, J. B. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/213710 · Cited by 6
Anticipatory reinstatement of expected perceptual events during visual sequence learningPreprint
Senoussi, M., VanRullen, R., & Reddy, L. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.28.402123 · Cited by 5
Statistical Learning Facilitates Access to Awareness
Xu, L., Paffen, C. L. E., der Stigchel, S. V., & Gayet, S. (2024) · Psychological Science · doi:10.1177/09567976241263344 · Cited by 4
Dehaghani, N. S., & Zarei, M. (2025) · Brain and Behavior · doi:10.1002/brb3.3654 · Cited by 2
Visual Statistical Learning Alters Low-Dimensional Cortical Architecture
Rowchan, K., Gale, D. J., Nick, Q., Gallivan, J. P., & Wammes, J. D. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1932-24.2025 · Cited by 4
RetractedExtracting probability in the absence of visual awareness
Hung, S., Wu, D.-A. J., Escobar, L., Hsieh, P.-J., & Shimojo, S. (2022) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-022-01057-1 · Cited by 5
The role of brain oscillations in feature integration
Cobos, M. I., Melcón, M., Esteban, P. R.-S., Capilla, A., & Chica, A. B. (2023) · Psychophysiology · doi:10.1111/psyp.14467 · Cited by 4
Gaze dynamics of feature-based distractor inhibition under prior-knowledge and expectations
Wen, W., Zhang, Y., & Li, S. (2021) · Attention Perception & Psychophysics · doi:10.3758/s13414-021-02308-y · Cited by 4
Rideaux, R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.20.576485 · Cited by 4
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.95837.1 · Cited by 4
Buhmann, Z., Robinson, A. K., Mattingley, J. B., & Rideaux, R. (2024) · eLife · doi:10.7554/elife.97230.1 · Cited by 4
Pinging the Hidden Attentional Priority Map: Suppression Needs AttentionPreprint
Huang, C., van Moorselaar, D., Foster, J. J., Donk, M., & Theeuwes, J. (2024) · eLife · doi:10.7554/elife.98304.1 · Cited by 4
Rideaux, R., Bays, P. M., & Harrison, W. J. (2025) · Nature Communications · doi:10.1038/s41467-025-60860-9 · Cited by 4
Contents of Visual Predictions Oscillate at Alpha Frequencies
Hetenyi, D., Haarsma, J., & Kok, P. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0474-25.2025 · Cited by 4
Self-citationSelective preservation of prediction-related signals in human sleep
Topalidis, P. I., Demarchi, G., Reisinger, L., Schubert, J., Ameen, M. S., Weisz, N., & Schabus, M. (2025) · Current Biology · doi:10.1016/j.cub.2025.03.064 · Cited by 3
Expectation generation and its effect on subsequent pain and visual perception
Botvinik‐Nezer, R., Geuter, S., Lindquist, M. A., & Wager, T. D. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013053 · Cited by 3
Hu, Z., Tran, D. M. D., & Rideaux, R. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.152 · Cited by 8
Surprising Threats Accelerate Conscious Perception
McFadyen, J., Tsuchiya, N., Mattingley, J. B., & Garrido, M. I. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.797119 · Cited by 3
Haddara, N., & Rahnev, D. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1219-23.2023 · Cited by 5
Auditory-vocal control system is object for predictive processing within seconds time range
Korzyukov, O. A., Lee, Y., Bronder, A., Wagner, M., Gumenyuk, V., Larson, C. R., & Hammer, M. J. (2020) · Brain Research · doi:10.1016/j.brainres.2020.146703 · Cited by 3
SURPRISING THREATS ACCELERATE EVIDENCE ACCUMULATION FOR CONSCIOUS PERCEPTIONPreprint
McFadyen, J., Smout, C., Tsuchiya, N., Mattingley, J. B., & Garrido, M. I. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/525519 · Cited by 3
Rapid computations of spectrotemporal prediction error support perception of degraded speechPreprint
Sohoglu, E., & Davis, M. H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.22.054726 · Cited by 3
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