Publications

Lavechin, M., de Seyssel, M., Metais, M., Metze, F., Mohamed, A., Bredin, H., Dupoux, E. & Cristia, A. (2024). Modeling early phonetic acquisition from child-centered audio data. Cognition, 245, 105734. doi:10.1016/j.cognition.2024.105734

Apelian, C., de Vignemont, F. & B Terhune, D. (2023). Comparative effects of hypnotic suggestion and imagery instruction on bodily awareness. Consciousness and cognition, 108, 103473. doi:10.1016/j.concog.2023.103473

Apelian, C., B Terhune, D. & de Vignemont, F. (2023). Hypnotic suggestion versus sensory modulation of bodily awareness. PloS one, 18(9), e0291493. doi:10.1371/journal.pone.0291493

Beiran, M., Meirhaeghe, N., Sohn, H., Jazayeri, M. & Ostojic, S. (2023). Parametric control of flexible timing through low-dimensional neural manifolds. Neuron, 111(5), 739-753.e8. doi:10.1016/j.neuron.2022.12.016

Bernard, M., Poli, M. , Karadayi, J. & Dupoux, E. (2023). Shennong: A Python toolbox for audio speech features extraction. Behavior research methods, . doi:10.3758/s13428-022-02029-6

Cimesa, L., Ciric, L. & Ostojic, S. (2023). Geometry of population activity in spiking networks with low-rank structure. PLoS computational biology, 19(8), e1011315. doi:10.1371/journal.pcbi.1011315

de Seyssel, M., Lavechin, M. & Dupoux, E. (2023). Realistic and broad-scope learning simulations: first results and challenges. Journal of child language, ., 1-24. doi:10.1017/S0305000923000272

de Vignemont, F. (2023). Expecting pain. , 202, 156. doi:10.1007/s11229-023-04394-x

de Vignemont, F., Wong, H. , Serino, A. & Farnè, A. (2023). The world at our fingertips: a multidisciplinary investigation of Peripersonal space. . doi:10.1093/oso/9780198851738.001.0001

Engelen, T., Solca, M. & Tallon-Baudry, C. (2023). Interoceptive rhythms in the brain. Nature neuroscience, 26, 1670–1684. doi:10.1038/s41593-023-01425-1

Engelen, T., Buot, A., Grèzes, J. & Tallon-Baudry, C. (2023). Whose emotion is it? Perspective matters to understand brain-body interactions in emotions. NeuroImage, 268, 119867. doi:10.1016/j.neuroimage.2023.119867

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

Molano-Mazón, M., Shao, Y., Duque, D., Robert Yang, G., Ostojic, S. & De La Rocha, J. (2023). Recurrent networks endowed with structural priors explain suboptimal animal behavior. Current biology : CB, 33(4), 622-638.e7. doi:10.1016/j.cub.2022.12.044

Nguyen, T. , Kharitonov, E., Copet, J. , Adi, Y. , Hsu, W. , Elkahky, A. , Tomasello, P. , Algayres, R., Sagot, B., Mohamed, A. & Dupoux, E. (2023). Generative Spoken Dialogue Language Modeling. Transactions of the Association for Computational Linguistics, 11, 250–266. doi:10.1162/tacl_a_00545

Shao, Y. & Ostojic, S. (2023). Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks. PLoS computational biology, 19(1), e1010855. doi:10.1371/journal.pcbi.1010855

Tallon-Baudry, C. (2023). Interoception: Probing internal state is inherent to perception and cognition. Neuron, . doi:10.1016/j.neuron.2023.04.019

Barbosa, J., Stein, H., Zorowitz, S. , Niv, Y. , Summerfield, C., Soto-Faraco, S. & Hyafil, A. (2022). A practical guide for studying human behavior in the lab. Behavior Research Methods. doi:10.3758/s13428-022-01793-9

Cleeremans, A. & Tallon-Baudry, C. (2022). Consciousness matters: phenomenal experience has functional value. Neuroscience of Consciousness., 2022(1), niac007. doi:10.1093/nc/niac007

Dubreuil, A., Valente, A., Beiran, M., Mastrogiuseppe, F. & Ostojic, S. (2022). The role of population structure in computations through neural dynamics. Nature Neuroscience, 25, 783–794. doi:10.1038/s41593-022-01088-4

Feldman, N., Goldwater, S., Dupoux, E. & Schatz, T. (2022). Do Infants Really Learn Phonetic Categories? . Open Mind, 5, 113-131. doi:10.1162/opmi_a_00046

Gallezot, C. , Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Youssov, K., Dupoux, E. & Bachoud-Levi, A. (2022). Emotion expression through spoken language in Huntington Disease. Cortex. doi:10.1016/j.cortex.2022.05.024

Ludusan, B., Cristia, A., Mazuka, R. & Dupoux, E. (2022). How much does prosody help word segmentation? A simulation study on infant-directed speech. Cognition, 219(104961). doi:10.1016/j.cognition.2021.104961

Mello, M. , Dupont, L. , Engelen, T., Acciarino, A. , W. de Borst, A. & de Gelder, B. (2022). The influence of body expression, group affiliation and threat proximity on interactions in virtual reality. Current Research in Behavioral Sciences, 3, 100075. doi:10.1016/j.crbeha.2022.100075

Petzschner, F., Critchley, H. & Tallon-Baudry, C. (2022). Interoception. Scholarpedia, . doi:10.4249/scholarpedia.55569

Rebollo, I. & Tallon-Baudry, C. (2022). The sensory and motor components of the cortical hierarchy are coupled to the rhythm of the stomach during rest. Journal of Neuroscience, 42(11), 2205-2220. doi:10.1523/JNEUROSCI.1285-21.2021

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington's disease: a lightweight speech test. Journal of neurology, 269(9), 5008-5021. doi:10.1007/s00415-022-11148-1

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington’s disease: a lightweight speech test. J Neurol, . doi:10.1007/s00415-022-11148-1

Stephen, W., Christophe, G., Veikko, J., Sackur, J. & Tallon-Baudry, C. (2022). Neuronal correlates of the subjective experience of attention. European Journal of Neuroscience, 55(11-12), 3465-3482. doi:10.1111/ejn.15395

Tallon-Baudry, C. (2022). The topological space of subjective experience. Trends in Cognitive Sciences. doi:10.1016/j.tics.2022.09.002

Valente, A., Ostojic, S. & Pillow, J. (2022). Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models. Neural Computation, 1-22. doi:10.1162/neco_a_01522