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Chen, C. , Messinger, D. S., Chen, C., Yan, H., Duan, Y., Ince, R. A.A. , Garrod, O. G.B., Schyns, P. G. and Jack, R. E. (2024) Cultural facial expressions dynamically convey emotion category and intensity information. Current Biology, 34(1), 213-223.e5. (doi: 10.1016/j.cub.2023.12.001) (PMID:38141619)

Yan, Y., Zhan, J., Garrod, O., Cui, X., Ince, R. A.A. and Schyns, P. G. (2023) Strength of predicted information content in the brain biases decision behavior. Current Biology, 33(24), 5505-5514.e6. (doi: 10.1016/j.cub.2023.10.042) (PMID:38065096)

Yan, Y., Zhang, J., Ince, R. A.A. and Schyns, P. G. (2023) Network communications flexibly predict visual contents that enhance representations for faster visual categorization. Journal of Neuroscience, 43(29), pp. 5391-5405. (doi: 10.1523/JNEUROSCI.0156-23.2023) (PMID:37369588) (PMCID:PMC10359031)

Benwell, C. S.Y., Beyer, R., Wallington, F. and Ince, R. A.A. (2023) History biases reveal novel dissociations between perceptual and metacognitive decision-making. Journal of Vision, 23(5), 14. (doi: 10.1167/jov.23.5.14) (PMID:37200046) (PMCID:PMC10207958)

Combrisson, E., Allegra, M., Basanisi, R., Ince, R. A.A. , Giordano, B. L., Bastin, J. and Brovelli, A. (2022) Group-level inference of information-based measures for the analyses of cognitive brain networks from neurophysiological data. NeuroImage, 258, 119347. (doi: 10.1016/j.neuroimage.2022.119347) (PMID:35660460)

Benwell, C. S.Y., Mohr, G., Wallberg, J., Kouadio, A. and Ince, R. A.A. (2022) Psychiatrically relevant signatures of domain-general decision-making and metacognition in the general population. npj Mental Health Research, 1(1), 10. (doi: 10.1038/s44184-022-00009-4)

Ince, R. A.A. , Kay, J. W. and Schyns, P. G. (2022) Within-participant statistics for cognitive science. Trends in Cognitive Sciences, 26(8), pp. 626-630. (doi: 10.1016/j.tics.2022.05.008) (PMID:35710894) (PMCID:PMC9586881)

PĂ©rez, A., Davis, M. H., Ince, R. A.A. , Zhang, H., Fu, Z., Lamarca, M., Lambon Ralph, M. A. and Monahan, P. J. (2022) Timing of brain entrainment to the speech envelope during speaking, listening and self-listening. Cognition, 224, 105051. (doi: 10.1016/j.cognition.2022.105051) (PMID:35219954) (PMCID:PMC9112165)

Delis, I., Ince, R. A. A. , Sajda, P. and Wang, Q. (2022) Neural encoding of active multi-sensing enhances perceptual decision-making via a synergistic cross-modal interaction. Journal of Neuroscience, 42(11), pp. 2344-2355. (doi: 10.1523/JNEUROSCI.0861-21.2022) (PMID:35091504) (PMCID:PMC8936614)

Jaworska, K. , Yan, Y., Van Rijsbergen, N. J. , Ince, R. A.A. and Schyns, P. G. (2022) Different computations over the same inputs produce selective behavior in algorithmic brain networks. eLife, 11, e73651. (doi: 10.7554/eLife.73651) (PMID:35174783) (PMCID:PMC8853655)

Bolam, J., Boyle, S. C. , Ince, R. A.A. and Delis, I. (2022) Neurocomputational mechanisms underlying cross-modal associations and their influence on perceptual decisions. NeuroImage, 247, 118841. (doi: 10.1016/j.neuroimage.2021.118841) (PMID:34952232)

Liu, M., Duan, Y., Ince, R. A.A. , Chen, C. , Garrod, O. G.B., Schyns, P. G. and Jack, R. E. (2022) Facial expressions elicit multiplexed perceptions of emotion categories and dimensions. Current Biology, 32(1), 200-209.e6. (doi: 10.1016/j.cub.2021.10.035) (PMID:34767768) (PMCID:PMC8751635)

Ince, R. A.A. , Paton, A. T., Kay, J. W. and Schyns, P. G. (2021) Bayesian inference of population prevalence. eLife, 10, e62461. (doi: 10.7554/eLife.62461) (PMID:34612811) (PMCID:PMC8494477)

Imperatori, L. S., Cataldi, J., Betta, M., Ricciardi, E., Ince, R. A.A. , Siclari, F. and Bernardi, G. (2021) Cross-participant prediction of vigilance stages through the combined use of wPLI and wSMI EEG functional connectivity metrics. Sleep, 44(5), zsaa247. (doi: 10.1093/sleep/zsaa247) (PMID:33220055) (PMCID:PMC8120343)

Combrisson, E., Nest, T., Brovelli, A., Ince, R. A.A. , Soto, J. L.P., Guillot, A. and Jerbi, K. (2020) Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals. PLoS Computational Biology, 16(10), e1008302. (doi: 10.1371/journal.pcbi.1008302) (PMID:33119593) (PMCID:PMC7654762)

Destoky, F. et al. (2020) Cortical tracking of speech in noise accounts for reading strategies in children. PLoS Biology, 18(8), e3000840. (doi: 10.1371/journal.pbio.3000840) (PMID:32845876)

Schyns, P. G. , Zhan, J., Jack, R. E. and Ince, R. A.A. (2020) Revealing the information contents of memory within the stimulus information representation framework. Proceedings of the Royal Society of London Series B: Biological Sciences, 375, 20190705. (doi: 10.1098/rstb.2019.0705) (PMID:32248774)

Daube, C., Giordano, B., Schyns, P. G. and Ince, R. A.A. (2019) Quantitatively Comparing Predictive Models with the Partial Information Decomposition. 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany, 13-16 Sep 2019. pp. 838-840. (doi: 10.32470/CCN.2019.1142-0)

Daube, C., Ince, R. A.A. and Gross, J. (2019) Simple acoustic features can explain phoneme-based predictions of cortical responses to speech. Current Biology, 29(12), 1924-1937.e9. (doi: 10.1016/j.cub.2019.04.067) (PMID:31130454) (PMCID:PMC6584359)

This list was generated on Fri Mar 29 00:13:54 2024 GMT.