The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Predictive Top-Down Integration of Prior Knowledge during Speech Perception
Open accessAbstract
A striking feature of human perception is that our subjective experience depends not only on sensory information from the environment but also on our prior knowledge or expectations. The precise mechanisms by which sensory information and prior knowledge are integrated remain unclear, with longstanding disagreement concerning whether integration is strictly feedforward or whether higher-level knowledge influences sensory processing through feedback connections. Here we used concurrent EEG and MEG recordings to determine how sensory information and prior knowledge are integrated in the brain during speech perception. We manipulated listeners' prior knowledge of speech content by presenting matching, mismatching, or neutral written text before a degraded (noise-vocoded) spoken word. When speech conformed to prior knowledge, subjective perceptual clarity was enhanced. This enhancement in clarity was associated with a spatiotemporal profile of brain activity uniquely consistent with a feedback process: activity in the inferior frontal gyrus was modulated by prior knowledge before activity in lower-level sensory regions of the superior temporal gyrus. In parallel, we parametrically varied the level of speech degradation, and therefore the amount of sensory detail, so that changes in neural responses attributable to sensory information and prior knowledge could be directly compared. Although sensory detail and prior knowledge both enhanced speech clarity, they had an opposite influence on the evoked response in the superior temporal gyrus. We argue that these data are best explained within the framework of predictive coding in which sensory activity is compared with top-down predictions and only unexplained activity propagated through the cortical hierarchy.
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?
In the citing paper
“while posterior temporal cortex appears to track changes in sensory detail (Sohoglu et al., 2012) and predictability (Gagnepain et al., 2012).”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Sohoglu et al., 2012
In the citing paper
“The negative correlation with left IFG activation is consistent with the deployment of this region for parsing speech in adverse listening conditions, and may reflect the accessing of word meanings and segments to support perception via prior knowledge (Davis and Johnsrude, 2003;Obleser and Kotz, 2010;Sohoglu et al., 2012;Du et al., 2014).”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Sohoglu et al., 2012
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
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 4×
“After time averaging, F tests were performed across sensor space while controlling the FWE rate using random field theory (Kilner and Friston, 2010).”
BackgroundMethodInfluentialThe cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 2×
“…al., 2002; van Wassenhove et al., 2005; Alink et al., 2010; Arnal et al., 2011), proposes that top-down predictions are compared with incoming sensory input and only unexplained activity (or error) propagated through the remainder of the processing hierarchy (Rao and Ballard, 1999; Friston, 2010).”
BackgroundCummins, R., & Fodor, J. A. (1985) · The Philosophical Review · doi:10.2307/2184717 · Cited by 4,791
Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.
Pascual-Marqui, R. D. (2002) · PubMed · Cited by 3,329
Speech Recognition with Primarily Temporal Cues
Shannon, R., Zeng, F.-G., Kamath, V., Wygonski, J., & Ekelid, M. (1995) · Science · doi:10.1126/science.270.5234.303 · Cited by 3,302
The TRACE model of speech perception
McClelland, J. L., & Elman, J. L. (1986) · Cognitive Psychology · doi:10.1016/0010-0285(86)90015-0 · Cited by 3,044
Visual Contribution to Speech Intelligibility in Noise
Sumby, W. H., & Pollack, I. (1954) · The Journal of the Acoustical Society of America · doi:10.1121/1.1907309 · Cited by 2,583 · cited 1×
“Speech perception is an ideal context in which to study integration effects because in everyday listening we constantly exploit prior information—such as a speaker’s lip movements or semantic context—to interpret incoming speech signals (Sumby, 1954; Miller and Isard, 1963).”
BackgroundUsing confidence intervals in within-subject designs
Loftus, G. R., & Masson, M. E. J. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03210951 · Cited by 2,433
Dale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003
Research works printed but not linked: 1
- Hervais-Adelman A, Carlyon RP, Johnsrude IS, Davis MH (2012) Motor regions are recruited for effortful comprehension of noise-vocoded words: evidence from fMRI. Lang Cogn Process. In press.
Cited by
Sorted by citations
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
Speech rhythms and multiplexed oscillatory sensory coding in the human brain
Gross, J., Hoogenboom, N., Thut, G., Schyns, P., Panzeri, S., Belin, P., & Garrod, S. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001752 · Cited by 643
Predicting while comprehending language: A theory and review.
Pickering, M. J., & Gambi, C. (2018) · Psychological Bulletin · doi:10.1037/bul0000158 · Cited by 581
Great Expectations: Is there Evidence for Predictive Coding in Auditory Cortex?
Heilbron, M., & Chait, M. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.061 · Cited by 428
The Encoding of Speech Sounds in the Superior Temporal Gyrus
Yi, H. G., Leonard, M. K., & Chang, E. F. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.023 · Cited by 424
Effortful Listening: The Processing of Degraded Speech Depends Critically on Attention
Wild, C. J., Yusuf, A., Wilson, D. E., Peelle, J. E., Davis, M. H., & Johnsrude, I. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1528-12.2012 · Cited by 411
Self-citationPark, H., Ince, R. A. A., Schyns, P. G., Thut, G., & Groß, J. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.049 · Cited by 359
Taylor, J. S. H., Rastle, K., & Davis, M. H. (2012) · Psychological Bulletin · doi:10.1037/a0030266 · Cited by 386
Self-citationThe Neural Consequences of Age-Related Hearing Loss
Peelle, J. E., & Wingfield, A. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.05.001 · Cited by 308
Self-citationPrediction and constraint in audiovisual speech perception
Peelle, J. E., & Sommers, M. S. (2015) · Cortex · doi:10.1016/j.cortex.2015.03.006 · Cited by 256
Self-citationNeural Entrainment to Speech Modulates Speech Intelligibility
Riecke, L., Formisano, E., Sorger, B., Başkent, D., & Gaudrain, É. (2017) · Current Biology · doi:10.1016/j.cub.2017.11.033 · Cited by 236
Perceptual restoration of masked speech in human cortex
Leonard, M. K., Baud, M. O., Sjerps, M. J., & Chang, E. F. (2016) · Nature Communications · doi:10.1038/ncomms13619 · Cited by 170
Listening effort and accented speech
Engen, K. V. V., & Peelle, J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00577 · Cited by 181
Self-citationBlank, H., & Davis, M. H. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002577 · Cited by 181
Self-citationWinn, M. B. (2016) · Trends in Hearing · doi:10.1177/2331216516669723 · Cited by 174
Prediction, Bayesian inference and feedback in speech recognition
Norris, D., McQueen, J. M., & Cutler, A. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1081703 · Cited by 170
Rhythm perception and production predict reading abilities in developmental dyslexia
Flaugnacco, E., Lopez, L., Terribili, C., Zoia, S., Buda, S., Tilli, S., Monasta, L., Montico, M., Sila, A., Ronfani, L., et al. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00392 · Cited by 199
Rimmele, J. M., Golumbic, E. Z., Schröger, E., & Poeppel, D. (2015) · Cortex · doi:10.1016/j.cortex.2014.12.014 · Cited by 162
Evidence for causal top-down frontal contributions to predictive processes in speech perception
Cope, T., Sohoglu, E., Sedley, W., Patterson, K. E., Jones, P. S., Wiggins, J., Dawson, C., Grube, M., Carlyon, R. P., Griffiths, T. D., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01958-7 · Cited by 159
Self-citationSemantic Context Enhances the Early Auditory Encoding of Natural Speech
Broderick, M. P., Anderson, A. J., & Lalor, E. C. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0584-19.2019 · Cited by 144
Fiedler, L., Wöstmann, M., Herbst, S. K., & Obleser, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.057 · Cited by 133
Bonhage, C., Mueller, J. L., Friederici, A. D., & Fiebach, C. J. (2015) · Cortex · doi:10.1016/j.cortex.2015.04.011 · Cited by 128
Evans, S., & Davis, M. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv136 · Cited by 130
Self-citationInteractive Activation and Mutual Constraint Satisfaction in Perception and Cognition
McClelland, J. L., Mirman, D., Bolger, D. J., & Khaitan, P. (2014) · Cognitive Science · doi:10.1111/cogs.12146 · Cited by 122
Perceptual learning of degraded speech by minimizing prediction error
Sohoglu, E., & Davis, M. H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523266113 · Cited by 125
Self-citationNieuwland, M. S. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.11.019 · Cited by 123
Brown, M., & Kuperberg, G. R. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00643 · Cited by 115
Aging Affects Neural Synchronization to Speech-Related Acoustic Modulations
Goossens, T., Vercammen, C., Wouters, J. M., & Wieringen, A. V. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00133 · Cited by 110
Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations
Alderson-Day, B., Lima, C. F., Evans, S., Krishnan, S., Shanmugalingam, P., Fernyhough, C., & Scott, S. K. (2017) · Brain · doi:10.1093/brain/awx206 · Cited by 108
Pefkou, M., Arnal, L. H., Fontolan, L., & Giraud, A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2882-16.2017 · Cited by 103
Neural dynamics of phoneme sequences reveal position-invariant code for content and order
Gwilliams, L., King, J.-R., Marantz, A., & Poeppel, D. (2022) · Nature Communications · doi:10.1038/s41467-022-34326-1 · Cited by 108
Alpha Oscillatory Dynamics Index Temporal Expectation Benefits in Working Memory
Wilsch, A., Henry, M. J., Herrmann, B., Maeß, B., & Obleser, J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu004 · Cited by 100
Dynamic speech representations in the human temporal lobe
Leonard, M. K., & Chang, E. F. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.05.001 · Cited by 98
Methodological challenges and solutions in auditory functional magnetic resonance imaging
Peelle, J. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00253 · Cited by 98
Self-citationSchindler, S., Wegrzyn, M., Steppacher, I., & Kissler, J. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.3346-14.2015 · Cited by 83
Top-down influences of written text on perceived clarity of degraded speech.
Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H. (2013) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0033206 · Cited by 86
Self-citationPalaniyappan, L. K., White, T. P., & Liddle, P. F. (2012) · Current Topics in Medicinal Chemistry · doi:10.2174/156802612805289881 · Cited by 91
Huettig, F., & Guerra, E. (2018) · Brain Research · doi:10.1016/j.brainres.2018.11.013 · Cited by 96
Jenson, D. E., Bowers, A. L., Harkrider, A. W., Thornton, D. M., Cuellar, M. E., & Saltuklaroglu, T. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00656 · Cited by 91
Johnson, E. L., Kam, J. W. Y., Tzovara, A., & Knight, R. T. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb7a5 · Cited by 80
Gow, D. W., & Olson, B. B. (2015) · Language Cognition and Neuroscience · doi:10.1080/23273798.2015.1029498 · Cited by 75
Causal cortical dynamics of a predictive enhancement of speech intelligibility
Liberto, G. M. D., Lalor, E. C., & Millman, R. E. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.066 · Cited by 74
Guediche, S., Blumstein, S. E., Fiez, J. A., & Holt, L. L. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00126 · Cited by 83
The Causes and Contents of Inner Speech
Carruthers, P. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780198796640.003.0002 · Cited by 77
Millman, R. E., Johnson, S. R., & Prendergast, G. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00719 · Cited by 76
Liberto, G. M. D., Crosse, M. J., & Lalor, E. C. (2018) · eNeuro · doi:10.1523/eneuro.0084-18.2018 · Cited by 71
The 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
Schindler, S., & Kissler, J. M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.052 · Cited by 72
Development of process safety knowledge graph: A Case study on delayed coking process
Mao, S., Zhao, Y., Chen, J., Wang, B., & Tang, Y. S. (2020) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2020.107094 · Cited by 67
Clos, M., Diederen, K. M. J., Meijering, A. L., Sommer, I. E., & Eickhoff, S. B. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0519-5 · Cited by 70
Cognitive Spare Capacity and Speech Communication: A Narrative Overview
Rudner, M., & Lunner, T. (2014) · BioMed Research International · doi:10.1155/2014/869726 · Cited by 68
Adult-like processing of naturalistic sounds in auditory cortex by 3- and 9-month old infants
Wild, C. J., Linke, A. C., Zubiaurre‐Elorza, L., Herzmann, C., Duffy, H., Han, V. K. M., Lee, D. S. C., & Cusack, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.038 · Cited by 68
Multisensory Integration in Speech Processing: Neural Mechanisms of Cross-Modal Aftereffects
Kilian-Hütten, N., Formisano, E., & Vroomen, J. (2017) · Innovations in cognitive neuroscience · doi:10.1007/978-1-4939-7325-5_6 · Cited by 65
Factors That Increase Processing Demands When Listening to Speech
Johnsrude, I. S., & Rodd, J. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00040-7 · Cited by 63
Semantic versus perceptual interactions in neural processing of speech-in-noise
Golestani, N., Hervais‐Adelman, A., Obleser, J., & Scott, S. K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.049 · Cited by 67
Attention Fine-Tunes Auditory–Motor Processing of Speech Sounds
Möttönen, R., van de Ven, G. M., & Watkins, K. E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2214-13.2014 · Cited by 68
Active Inference and Auditory Hallucinations
Benrimoh, D. A., Parr, T., Vincent, P., Adams, R. A., & Friston, K. J. (2018) · Computational Psychiatry · doi:10.1162/cpsy_a_00022 · Cited by 66
Focal versus distributed temporal cortex activity for speech sound category assignment
Bouton, S., Chambon, V., Tyrand, R., Guggisberg, A. G., Seeck, M., Karkar, S., Ville, D. V. D., & Giraud, A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714279115 · Cited by 62
Neural attentional-filter mechanisms of listening success in middle-aged and older individuals
Tune, S., Alavash, M., Fiedler, L., & Obleser, J. (2021) · Nature Communications · doi:10.1038/s41467-021-24771-9 · Cited by 66
Prediction Signatures in the Brain: Semantic Pre-Activation during Language Comprehension
Maeß, B., Mamashli, F., Obleser, J., Helle, L., & Friederici, A. D. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00591 · Cited by 64
Rapid computations of spectrotemporal prediction error support perception of degraded speech
Sohoglu, E., & Davis, M. H. (2020) · eLife · doi:10.7554/elife.58077 · Cited by 63
Self-citationTop-Down Inference in the Auditory System: Potential Roles for Corticofugal Projections
Asilador, A. R., & Llano, D. A. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.615259 · Cited by 69
Early effects of previous experience on conscious perception
Aru, J., Rutiku, R., Wibral, M., Singer, W., & Melloni, L. (2016) · Neuroscience of Consciousness · doi:10.1093/nc/niw004 · Cited by 61
Perceptual Restoration of Degraded Speech Is Preserved with Advancing Age
Saija, J. D., Akyürek, E. G., Andringa, T., & Başkent, D. (2013) · Journal of the Association for Research in Otolaryngology · doi:10.1007/s10162-013-0422-z · Cited by 64
Mmlatch: Bottom-Up Top-Down Fusion For Multimodal Sentiment Analysis
Paraskevopoulos, G., Georgiou, E., & Potamianos, A. (2022) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp43922.2022.9746418 · Cited by 62
Brain aging and speech perception: Effects of background noise and talker variability
Tremblay, P., Brisson, V., & Deschamps, I. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117675 · Cited by 56
Cognitive Compensation of Speech Perception With Hearing Impairment, Cochlear Implants, and Aging
Başkent, D., Clarke, J., Pals, C., Benard, M. R., Bhargava, P., Saija, J. D., Sarampalis, A., Wagner, A. E., & Gaudrain, É. (2016) · Trends in Hearing · doi:10.1177/2331216516670279 · Cited by 59
Wijayasiri, P., Hartley, D. E. H., & Wiggins, I. M. (2017) · Hearing Research · doi:10.1016/j.heares.2017.05.010 · Cited by 57
Havron, N., de Carvalho, A., Fiévet, A., & Christophe, A. (2018) · Child Development · doi:10.1111/cdev.13113 · Cited by 53
Semantic Control of Feature Extraction from Natural Scenes
Neri, P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1755-13.2014 · Cited by 50
YAN, S., Kuperberg, G. R., & Jaeger, T. F. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/143750 · Cited by 56
Saltuklaroglu, T., Harkrider, A. W., Thornton, D. M., Jenson, D. E., & Kittilstved, T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.022 · Cited by 50
Evidence for Cerebellar Contributions to Adaptive Plasticity in Speech Perception
Guediche, S., Holt, L. L., Laurent, P. A., Lim, S.-J., & Fiez, J. A. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht428 · Cited by 44
Self-voice perception and its relationship with hallucination predisposition
Pinheiro, A. P., Farinha‐Fernandes, A., Roberto, M. S., & Kotz, S. A. (2019) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2019.1621159 · Cited by 45
ALHO, J. S., Lin, F., Sato, M., Tiitinen, H., Sams, M. E., & Jääskeläinen, I. P. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00394 · Cited by 54
Left temporal alpha-band activity reflects single word intelligibility
Becker, R., Pefkou, M., Michel, C. M., & Hervais‐Adelman, A. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00121 · Cited by 46
Jenson, D. E., Harkrider, A. W., Thornton, D. M., Bowers, A. L., & Saltuklaroglu, T. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00534 · Cited by 46
Lexical Influences on Auditory Streaming
Billig, A. J., Davis, M. H., Deeks, J. M., Monstrey, J., & Carlyon, R. P. (2013) · Current Biology · doi:10.1016/j.cub.2013.06.042 · Cited by 42
Self-citationGoldstein, A., Wang, H., Niekerken, L., Schain, M., Zada, Z., Aubrey, B., Sheffer, T., Nastase, S. A., Gazula, H., Singh, A., et al. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02105-9 · Cited by 57
Bernstein, L. E., Jordan, N., Auer, E. T., & Eberhardt, S. P. (2022) · American Journal of Audiology · doi:10.1044/2021_aja-21-00112 · Cited by 39
Neural systems underlying perceptual adjustment to non-standard speech tokens
Myers, E. B., & Mesite, L. M. (2014) · Journal of Memory and Language · doi:10.1016/j.jml.2014.06.007 · Cited by 41
Delta-Band Neural Responses to Individual Words Are Modulated by Sentence Processing
Slaats, S., Weissbart, H., Schoffelen, J., Meyer, A. S., & Martin, A. E. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0964-22.2023 · Cited by 36
Xie, X., Jaeger, T. F., & Kurumada, C. (2023) · Cortex · doi:10.1016/j.cortex.2023.05.003 · Cited by 45
Lenc, T., Keller, P. E., Varlet, M., & Nozaradan, S. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa037 · Cited by 40
When sentences live up to your expectations
Tünnerhoff, J., & Noppeney, U. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.004 · Cited by 37
Prediction across sensory modalities: A neurocomputational model of the McGurk effect
Olasagasti, I., Bouton, S., & Giraud, A. (2015) · Cortex · doi:10.1016/j.cortex.2015.04.008 · Cited by 32
The effect of prior knowledge and intelligibility on the cortical entrainment response to speech
Baltzell, L. S., Srinivasan, R., & Richards, V. M. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00023.2017 · Cited by 37
Predicting contrast effects following reliable spectral properties in speech perception
Stilp, C. E., Anderson, P. W., & Winn, M. B. (2015) · The Journal of the Acoustical Society of America · doi:10.1121/1.4921600 · Cited by 36
Memory Load Alters Perception-Related Neural Oscillations during Multisensory Integration
Michail, G., Senkowski, D., Niedeggen, M., & Keil, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1397-20.2020 · Cited by 35
Temporal Cortex Reflects Effects of Sentence Context on Phonetic Processing
Guediche, S., Salvata, C., & Blumstein, S. E. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00351 · Cited by 36
Neural Prediction Errors Distinguish Perception and Misperception of Speech
Blank, H., Spangenberg, M., & Davis, M. H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3258-17.2018 · Cited by 36
Self-citationCombined effects of form- and meaning-based predictability on perceived clarity of speech.
Signoret, C., Johnsrude, I. S., Classon, E., & Rudner, M. (2017) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000442 · Cited by 37
Prefrontal cortex supports speech perception in listeners with cochlear implants
Sherafati, A., Dwyer, N. Y., Bajracharya, A., Hassanpour, M. S., Eggebrecht, A. T., Firszt, J. B., Culver, J. P., & Peelle, J. E. (2022) · eLife · doi:10.7554/elife.75323 · Cited by 42
Self-citationLange, J., Christian, N., & Schnitzler, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.064 · Cited by 35
Causal inference and temporal predictions in audiovisual perception of speech and music
Noppeney, U., & Lee, H. L. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13615 · Cited by 33
Xie, X., & Myers, E. B. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01208 · Cited by 31
Age, Hearing, and the Perceptual Learning of Rapid Speech
Manheim, M., Lavie, L., & Banai, K. (2018) · Trends in Hearing · doi:10.1177/2331216518778651 · Cited by 29
Transformation of a temporal speech cue to a spatial neural code in human auditory cortex
Fox, N. P., Leonard, M. K., Sjerps, M. J., & Chang, E. F. (2020) · eLife · doi:10.7554/elife.53051 · Cited by 33
Kyong, J.-S., Scott, S. K., Rosen, S., Howe, T. B., Agnew, Z. K., & McGettigan, C. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00583 · Cited by 31
Fonteneau, E., Božić, M., & Marslen‐Wilson, W. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu283 · Cited by 30
Metadata
- Authors
- Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H.
- Affiliations
- MRC Cognition and Brain Sciences Unit (GB)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-06-20
- Volume
- 32
- Issue
- 25
- Pages
- 8443-8453
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6620994
- OpenAlex
- W1966247273
- Cited by
- 388
- References
- 60
- Citations by year
- 2026: 18 · 2025: 31 · 2024: 21 · 2023: 29 · 2022: 25 · 2021: 28 · 2020: 54 · 2019: 19 · 2018: 34 · 2017: 27 · 2016: 23 · 2015: 35 · 2014: 26 · 2013: 14 · 2012: 4
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Sussex Research Online (University of Sussex) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Medical Research Council (MC-A060-5PQ80)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- speech perception, prior knowledge, top-down feedback, predictive coding, prior expectations, speech clarity, noise-vocoded speech, inferior frontal gyrus, superior temporal gyrus, cortical hierarchy
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Cerebral Cortex, Cues, Data Interpretation, Statistical, Electroencephalography, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Functional Laterality, Psychomotor Performance, Speech, Speech Perception, Magnetoencephalography, Knowledge, Young Adult
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