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Prior Expectation Mediates Neural Adaptation to Repeated Sounds in the Auditory Cortex: An MEG Study
Open accessAbstract
Repetition suppression, the phenomenon that the second presentation of a stimulus attenuates neural activity, is typically viewed as an automatic consequence of repeated stimulus presentation. However, a recent neuroimaging study has suggested that repetition suppression may be driven by top-down expectations. Here we examined whether and when repetition suppression can be modulated by top-down expectation. Participants listened to auditory stimuli in blocks where tone repetitions were either expected or unexpected, while we recorded ongoing neural activity using magnetoencephalography. We found robust repetition suppression in the auditory cortex for repeated tones. Interestingly, this reduction was significantly larger for expected than unexpected repetitions, both in terms of evoked activity and gamma-band synchrony. These findings indicate a role of top-down expectation in generating repetition suppression and are in line with predictive coding models of perception, in which the difference between expected and actual input is propagated from lower to higher cortical areas.
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“Direct evidence for alpha/beta and gamma in predictive coding per se comes from observations of increased gamma power to stimuli that are prediction errors (22, 24, 25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“But there is mounting evidence that oscillatory dynamics play a role in regulating cortical processing and thus can also play a role, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands (1, 18–25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [25]
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“Similarly, violating expectations of auditory repetition causes enhanced gamma-band responses in early auditory cortex (Todorovic et al., 2011).”
From Canonical Microcircuits for Predictive Coding (2012) · cites this paper as Todorovic et al., 2011
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“As with RS, ES has been consistently reported in human brain imaging studies across sensory modalities and noninvasive neural recording techniques 45 , 46 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 (but see Ref. 82)”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Numerous subsequent functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and electroencephalography (EEG) studies have reported modulations of RS by the probability of a repetition 45 , 46 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 (i.e., expectation) (but see Refs. 68, 69, 70).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Studies that have sought to test PP's characterization of oscillatory message passing have found that when a stimulus is expected, beta power gradually builds in the lead up to stimulus onset, and gamma activity is reduced when those expectations are realized.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Todorovic et al. 45 found greater gamma power for unexpected tone repetitions and unexpected omissions, but unexpected repetitions also elicited greater power in low frequencies (5–9 Hz).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Todorovic et al. 45 found greater gamma power for unexpected tone repetitions and unexpected omissions, but unexpected repetitions also elicited greater power in low frequencies (5–9 Hz).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Studies that have sought to test PP's characterization of oscillatory message passing have found that when a stimulus is expected, beta power gradually builds in the lead up to stimulus onset, and gamma activity is reduced when those expectations are realized.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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InfluentialEvidence for a hierarchy of predictions and prediction errors in human cortex
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BackgroundResultHow prediction errors shape perception, attention, and motivation
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Attention and conscious perception in the hypothesis testing brain
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ResultPrior expectations induce prestimulus sensory templates
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ResultPrior Expectations Evoke Stimulus Templates in the Primary Visual Cortex
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“Other sequential effects, such as repetition suppression, may similarly be cast as the result of this same prior (Summerfield et al., 2008; Todorovic et al., 2011; Henson, 2015): if the world is generally stable, objects are more likely to repeat than change.”
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“In another recent report (Todorovic et al., 2011), expectation modulated RS of auditory evoked potentials observed using MEG, although these effects occurred somewhat earlier, perhaps because stimuli were presented in the auditory modality.”
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ResultCortical encoding of melodic expectations in human temporal cortex
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“When a sequence of sounds is prematurely interrupted, early ( 100 ms) activity has been observed (Raij et al., 1997; Hughes et al., 2001; Bendixen et al., 2009; Todorovic et al., 2011; Wacongne et al., 2011).”
BackgroundPrior expectations evoke stimulus-specific activity in the deep layers of the primary visual cortex
Aitken, F., Menelaou, G., Warrington, O., Koolschijn, R. S., Corbin, N., Callaghan, M. F., & Kok, P. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3001023 · Cited by 141
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“The MMN can be explained by sensory adaptation (for a review see May and Tiitinen, 2010) or by an involvement of top–down expectations or their violation (e.g., Schröger and Wolff, 1996; see also Todorovic et al., 2011; Todorovic and de Lange, 2012).”
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“The observed results could therefore be accounted for by assuming that continuous changes in expectancy attenuate the evoked responses to the offset tones closer to the SI (Lange, 2009; but see Bendixen et al., 2009; Todorovic et al., 2011; Wacongne et al., 2011; Todorovic and de Lange, 2012).”
BackgroundCan predictive coding explain repetition suppression?
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Is predictability salient? A study of attentional capture by auditory patterns
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“Neural activity in sensory cortex can be strongly modulated by prior expectations (Summerfield et al., 2008; den Ouden et al., 2009; Alink et al., 2010; Meyer and Olson, 2011; Todorovic et al., 2011; Wacongne et al., 2011; Kok et al., 2012, 2013; Bell et al., 2016; Kaposvari et al., 2016).”
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“Prediction errors were coded in absolute differences, motivated by previous studies in the visual and auditory system (den Ouden et al., 2010; Todorovic et al., 2011; Todorovic and de Lange, 2012; Boll et al., 2013; Geuter et al., 2017).”
MethodResultCoding Principles in Adaptation
Weber, A. I., Krishnamurthy, K., & Fairhall, A. L. (2019) · Annual Review of Vision Science · doi:10.1146/annurev-vision-091718-014818 · Cited by 104
“In general, top-down connections are likely to play a significant role in mediating several forms of on-line learning of statistics (Todorovic et al. 2011, Hamm et al. 2018).”
BackgroundThe Faces of Predictive Coding
Brodski, A., Paasch, G.-F., Helbling, S., & Wibral, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1529-14.2015 · Cited by 99
“First evidence for PE signaling in GBA has been provided in recent MEG studies (Arnal et al., 2011; Todorovic et al., 2011; Bauer et al., 2014).”
ResultBrain signatures of a multiscale process of sequence learning in humans
Maheu, M., Dehaene, S., & Meyniel, F. (2019) · eLife · doi:10.7554/elife.41541 · Cited by 103
Tang, M. F., Smout, C. A., Arabzadeh, E., & Mattingley, J. B. (2018) · eLife · doi:10.7554/elife.33123 · Cited by 83
Is predictive coding theory articulated enough to be testable?
Kogo, N., & Trengove, C. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00111 · Cited by 98
“…question is particularly crucial because it has been suggested that reduction of neural signals at the lower level can be explained in terms of error minimization (Murray et al., 2002; Summerfield et al., 2008; den Ouden et al., 2009; Alink et al., 2010; Todorovic et al., 2011; Kok et al., 2012b).”
BackgroundPreferential effect of isoflurane on top-down vs. bottom-up pathways in sensory cortex
Raz, A., Grady, S. M., Krause, B. M., Uhlrich, D. J., Manning, K., & Banks, M. I. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00191 · Cited by 99
“…to sensory stimuli (Warren, 1970; Haist et al., 2001; Alain and Izenberg, 2003; Alain, 2007; Davis and Johnsrude, 2007; Fritz et al., 2007; Todorovic et al., 2011; Chennu et al., 2013; Kok et al., 2013), likely via modulation of infra- and supragranular pyramidal cells due to the…”
BackgroundUntangling Perceptual Memory: Hysteresis and Adaptation Map into Separate Cortical Networks
Schwiedrzik, C. M., Ruff, C. C., Lazăr, A., Leitner, F. C., Singer, W., & Melloni, L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs396 · Cited by 99
“This resembles repetition suppression (Grill-Spector et al. 2006), which has been proposed to reflect an effect of top-down perceptual expectations (Friston 2005; Summerfield et al. 2008; Todorovic et al. 2011).”
Predictive Coding in Sensory Cortex
Kok, P., & de Lange, F. P. (2015) · An Introduction to Model-Based Cognitive Neuroscience · doi:10.1007/978-1-4939-2236-9_11 · Cited by 98
Temporal Expectation and Attention Jointly Modulate Auditory Oscillatory Activity in the Beta Band
Todorovic, A., Schoffelen, J.-M., van Ede, F., Maris, E., & de Lange, F. P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120288 · Cited by 84
“Similarly, we have previously observed that activity elicited by tone omissions scales with the (im)probability of the omission [29].”
BackgroundResultInfluentialSelf-citationSurface color and predictability determine contextual modulation of V1 firing and gamma oscillations
Peter, A., Uran, C., Klon-Lipok, J., Roese, R., van Stijn, S., Barnes, W., Dowdall, J. R., Singer, W., Fries, P., & Vinck, M. A. (2019) · eLife · doi:10.7554/elife.42101 · Cited by 90
Automatic and feature-specific prediction-related neural activity in the human auditory system
Demarchi, G., Sanchez, G., & Weisz, N. (2019) · Nature Communications · doi:10.1038/s41467-019-11440-1 · Cited by 91
Rethinking post-traumatic stress disorder – A predictive processing perspective
Κube, T., Berg, M., Kleim, B., & Herzog, P. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.04.014 · Cited by 107
Expectancy-based rhythmic entrainment as continuous Bayesian inference
Cannon, J. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009025 · Cited by 100
“However, timing prediction errors may be 635 observable in EEG/MEG through their effect on gamma oscillations [90, 91].”
BackgroundPrinciples of Temporal Processing Across the Cortical Hierarchy
Himberger, K. D., Chien, H.-Y. S., & Honey, C. J. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.04.030 · Cited by 91
Repetition Probability Does Not Affect fMRI Repetition Suppression for Objects
Kovacs, G., KAISER, D. H., Kaliukhovich, D. A., Vidnyánszky, Z., & Vogels, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3423-12.2013 · Cited by 86
“Todorovic et al. (2011) applied auditory stimulation and found that prior expectations increase the RS of both the evoked activity and gamma-band synchrony of the MEG signal.”
BackgroundCohn, N., Jackendoff, R. S., Holcomb, P. J., & Kuperberg, G. R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.018 · Cited by 140
“Neural responses to omissions are taken to reflect pure neural prediction error, produced by the mismatch between top-down predictions and (absent) bottom-up input (Bendixen, Schröger, & Winkler, 2009; Friston, 2005; Todorovic, van Ede, Maris, & de Lange, 2011; Wacongne et al., 2011).”
BackgroundBartha, L., Deuster, D., Giordano, V., Zehnhoff‐Dinnesen, A. A., & Dobel, C. (2015) · Psychophysiology · doi:10.1111/psyp.12459 · Cited by 89
Echoes of the spoken past: how auditory cortex hears context during speech perception
Skipper, J. I. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0297 · Cited by 89
“In the RS case, stimuli are more predictable because they are repeating and this leads to less prediction error and, therefore, less AC activity [108–111].”
BackgroundNeural Oscillations: Understanding a Neural Code of Pain
Kim, J. A., & Davis, K. D. (2020) · The Neuroscientist · doi:10.1177/1073858420958629 · Cited by 92
Prior Expectations of Motion Direction Modulate Early Sensory Processing
Aitken, F., Turner, G., & Kok, P. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0537-20.2020 · Cited by 80
“…previous studies which report modulations of the amplitude of sensory signals by expectation at ∼100-150 ms (Samaha et al., 2018; Stojanoski and Niemeier, 2015; Bar et al., 2006; Todorovic et al. 2011; Todorovic and De Lange, 2012; Wacongne et al., 2011; Meyer and Olson, 2011; Aru et al., 2016).”
BackgroundResultAutomatic Temporal Expectancy: A High-Density Event-Related Potential Study
Mento, G., Tarantino, V., Sarlo, M., & Bisiacchi, P. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062896 · Cited by 76
“Concerning implicit timing tasks, it is important to mention earlier studies using oddball-like stimulation protocols to investigate timing or time-related processing [40,57–60].”
MethodRepetition enhancement and memory effects for duration
Wiener, M., & Thompson, J. C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.054 · Cited by 77
“A prediction for this experiment is that the CNV signal would be higher for rare, unexpected repeats than for common, expected ones, similar to other stimulus domains (Todorovic et al., 2011).”
ResultThe empirical status of predictive coding and active inference
Hodson, R., Mehta, M., & Smith, R. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105473 · Cited by 69
Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model
Tarasi, L., Trajkovic, J., Diciotti, S., di Pellegrino, G., Ferri, F., Ursino, M., & Romei, V. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.006 · Cited by 74
Gordon, N., Koenig‐Robert, R., Tsuchiya, N., van Boxtel, J. J. A., & Hohwy, J. (2017) · eLife · doi:10.7554/elife.22749 · Cited by 72
“We expected to find strongest SSVEP amplitudes over the occipital region (as the primary visual cortex is known to be a principal source of SSVEP [Di Russo et al., 2007]) and strongest SWIFT amplitudes over more temporal and parietal regions (as SWIFT has been shown to increasingly activate higher…”
BackgroundMethodInfluentialAffective interoceptive inference: Evidence from heart‐beat evoked brain potentials
Gentsch, A., Sel, A., Marshall, A. C., & Schütz‐Bosbach, S. (2019) · Human Brain Mapping · doi:10.1002/hbm.24352 · Cited by 76
“…increasing stimulus repetition rate, leads to neural modulations in cortical regions where the expected stimulus is represented, that is, repetition effects (Friston, 2005; Henson, Shallice, & Dolan, 2000; Summerfield et al., 2008; Todorovic et al., 2011; Turk-Browne, Yi, Leber, & Chun, 2007).”
BackgroundBoth attention and prediction are necessary for adaptive neuronal tuning in sensory processing
Hsu, Y., Hämäläinen, J. A., & Waszak, F. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00152 · Cited by 71
Liberto, G. M. D., Crosse, M. J., & Lalor, E. C. (2018) · eNeuro · doi:10.1523/eneuro.0084-18.2018 · Cited by 71
“On the other hand, the suppression may be a consequence of top-down predictions and could be explained via the theory of predictive coding (Summerfield et al., 2008; Todorovic et al., 2011).”
BackgroundThe NOLB model: a model of the natural organization of language and the brain
Skipper, J. I. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107323667.006 · Cited by 71
Mechanisms of adaptation in human auditory cortex
Lanting, C., Briley, P. M., Sumner, C. J., & Krumbholz, K. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00547.2012 · Cited by 69
“…at least in human macroscopic brain responses, is stronger for expected than for unexpected stimuli (Costa-Faidella et al. 2011; Lange 2009; Summerfield et al. 2008; Todorovic et al. 2011; Wacongne et al. 2011; however, see Farley et al. 2010 for contrary evidence in animal multiunit recordings).”
BackgroundTask relevance modulates the behavioural and neural effects of sensory predictions
Auksztulewicz, R., Friston, K. J., & Nobre, A. C. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2003143 · Cited by 63
“A boost of gamma oscillations at the expense of lower frequencies [51,52] has often been reported as a correlate of predictability of targets [9,15,50,53,54].”
BackgroundResultPrior expectations induce pre-stimulus sensory templatesPreprint
Kok, P., Mostert, P., & de Lange, F. P. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/119073 · Cited by 69
“…have found an increased neural response to unexpected stimuli (Summerfield et al., 2008;den Ouden et al., 2009;Alink et al., 2010;Meyer and Olson, 2011;Todorovic et al., 2011;Wacongne et al., 2011), including some using an almost identical paradigm as the current study (Kok et al., 2012, 2016b).”
Hsu, Y., Bars, S. L., Hämäläinen, J. A., & Waszak, F. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2204-15.2015 · Cited by 67
“…size of adaptation effect on hemodynamic responses (visual: Summerfield et al., 2008; Kovács et al., 2012; Grotheer and Kovács, 2014; Mayrhauser et al., 2014; auditory: Andics et al., 2013) and electrophysiological responses (visual: Summerfield et al., 2011; auditory: Todorovic et al., 2011).”
BackgroundThe Cumulative Effects of Predictability on Synaptic Gain in the Auditory Processing Stream
Auksztulewicz, R., Barascud, N., Cooray, G., Nobre, A. C., Chait, M., & Friston, K. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0291-17.2017 · Cited by 55
“…higher frequencies under predictable stimulation conditions is consistent with previous reports of gammaband synchronization and alpha-band desynchronization due to contextual predictability (Arnal et al., 2011; Todorovic et al., 2011; Bauer et al., 2014; Brodski et al., 2015; Sedley et al., 2016).”
BackgroundResultAltered temporal dynamics of neural adaptation in the aging human auditory cortex
Herrmann, B., Henry, M. J., Johnsrude, I. S., & Obleser, J. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.05.006 · Cited by 61
“Whether neural adaptation mechanistically supports the generation of sensory predictions is a question that requires further studies in which manipulation of predictability are not confounded with physical stimulus manipulations (see also Todorovic et al., 2011).”
BackgroundMovement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex
Bigelow, J., Morrill, R. J., DeKloe, J., & Hasenstaub, A. R. (2019) · eNeuro · doi:10.1523/eneuro.0164-19.2019 · Cited by 66
“Although response attenuation in self-generation paradigms is partially attributable to expectation-related feedback (Todorovic et al., 2011; Rummell et al., 2016), recent experiments suggest that it also depends at least in part on independent feedback generated by motor responses (Rummell et al.”
BackgroundBendixen, A., Scharinger, M., Strauß, A., & Obleser, J. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.001 · Cited by 68
“Interestingly, for tonal material it has recently been revealed that the supposedly simple mechanism of repetition suppression at least partly reflects higher-level predictions rather than just physical effects (Todorovic et al., 2011).”
Cornella, M., Leung, S., Grimm, S., & Escera, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043604 · Cited by 69
“when presenting pairs of tones), than when they are unexpected, suggesting the role of top-down expectations [46].”
BackgroundRepetition, expectation, and the perception of time
Matthews, W. J., & Gheorghiu, A. I. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.02.019 · Cited by 65
Reduced auditory cortical adaptation in autism spectrum disorder
Millin, R., Kolodny, T., Flevaris, A. V., Kale, A. M., Schallmo, M.-P., Gerdts, J., Bernier, R. A., & Murray, S. (2018) · eLife · doi:10.7554/elife.36493 · Cited by 64
“For example, auditory adaptation in response to repeated sounds is larger for expected versus unexpected stimuli (Todorovic et al., 2011).”
BackgroundPrior context in audition informs binding and shapes simple features
Chambers, C., Akram, S., Adam, V., Pelofi, C., Sahani, M., Shamma, S., & Pressnitzer, D. (2017) · Nature Communications · doi:10.1038/ncomms15027 · Cited by 64
Lamina-specific cortical dynamics in human visual and sensorimotor cortices
Bonaiuto, J. J., Meyer, S. S., Little, S. J., Rossiter, H. E., Callaghan, M. F., Dick, F., Barnes, G. R., & Bestmann, S. (2018) · eLife · doi:10.7554/elife.33977 · Cited by 67
Nickel, M. M., Tiemann, L., Hohn, V. D., May, E. S., Ávila, C. G., Eippert, F., & Ploner, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116616119 · Cited by 62
“the opportunity to not only detect non–phase-locked oscillatory responses but to also to record phase-locked evoked responses and to determine their role in signaling sensory information, expectations, and PEs as previously done in other modalities (59, 60).”
ResultTemporal Context Actively Shapes EEG Signatures of Time Perception
Damsma, A., Schlichting, N., & van Rijn, H. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0628-20.2021 · Cited by 59
Metadata
- Authors
- Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P.
- Affiliations
- Radboud University Nijmegen (NL)
- ORCID
- Maris, E.
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-06-22
- Volume
- 31
- Issue
- 25
- Pages
- 9118-9123
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6623501
- OpenAlex
- W2017040534
- Semantic Scholar
- 01da2b94c0d012b4894f0ab8dd0e90bff96b699e
- Cited by
- 391
- References
- 50
- Citations by year
- 2026: 12 · 2025: 32 · 2024: 18 · 2023: 25 · 2022: 30 · 2021: 22 · 2020: 34 · 2019: 29 · 2018: 30 · 2017: 32 · 2016: 28 · 2015: 22 · 2014: 26 · 2013: 23 · 2012: 23
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- repetition suppression, top-down expectations, auditory cortex, predictive coding, auditory evoked potentials, neural adaptation
- MeSH terms
- Acoustic Stimulation, Adaptation, Physiological, Attention, Auditory Cortex, Auditory Perception, Evoked Potentials, Auditory, Female, Humans, Male, Magnetoencephalography, Young Adult, Anticipation, Psychological
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