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

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

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

Derome, M., Kozuharova, P., O Diaconescu, A., Denève, S., Jardri, R. & Allen, P. (2023). Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage, 278, 120280. doi:10.1016/j.neuroimage.2023.120280

Duriez, A., Bergerot, C., J Cone, J., F Roitman, M. & Gutkin, B. (2023). Homeostatic Reinforcement Theory Accounts for Sodium Appetitive State- and Taste-Dependent Dopamine Responding. Nutrients, 15(4), 1015. doi:10.3390/nu15041015

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Signatures of task learning in neural representations, Current Opinion in Neurobiology,, 83, 102759. doi:10.1016/j.conb.2023.102759

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Current opinion in neurobiology, 83, 102759. doi:10.1016/j.conb.2023.102759

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

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

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

Anlló, H., Katsumi, W., Sackur, J. & de Gardelle, V. (2022). Effects of false statements on visual perception hinge on social suggestibility. J Exp Psychol Hum Percept Perform, 48(8), 889–900. doi:10.1037/xhp0001024

Bouttier, V., Duttagupta, S. , Denève, S. & Jardri, R. (2022). Circular inference predicts nonuniform overactivation and dysconnectivity in brain-wide connectomes. Schizophrenia Research, 245, 59-67. doi:10.1016/j.schres.2020.12.045

Completo Guerreiro, I., Gu, Z., Yakel, J. & Gutkin, B. (2022). Recurring Cholinergic Inputs Induce Local Hippocampal Plasticity through Feedforward Disinhibition. eNeuro. doi:10.1523/ENEURO.0389-21.2022

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2022). Multistability and evolution of chimera states in a network of type II Morris-Lecar neurons with asymmetrical nonlocal inhibitory connections. Chaos (Woodbury, N.Y.), 32(10), 101101. doi:10.1063/5.0117845

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2022). Multistability and evolution of chimera states in a network of type II Morris–Lecar neurons with asymmetrical nonlocal inhibitory connections. Chaos , 32, 101101. doi:10.1063/5.0117845

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

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

Kharitonov, E. , Polyak, A. , Adi, Y. , Copet, J. , Lakhotia, K. , Nguyen, T. , Rivière, M., Mohamed, A., Dupoux, E. & Hsu, W. (2022). Text-Free Prosody-Aware Generative Spoken Language Modeling. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 8666–8681. doi:10.18653/v1/2022.acl-long.593

Leptourgos, P., Bouttier, V., Denève, S. & Jardri, R. (2022). From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosis. Neuroscience & Biobehavioral Reviews, 135, 104593. doi:10.1016/j.neubiorev.2022.104593

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

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S., Jehee, J., Lau, H., Lee, A., Locke, S., Mamassian, P., Odegaard, B., Peters, M., Reyes, G., Rouault, M., Sackur, J., Samaha, J., Sergent, C., Sherman, M., Siedlecka, M., Soto, D., Vlassova, A. & Zylberberg, A. (2022). Consensus goals for the field of visual metacognition. Perspectives on Psychological Science, . doi:10.1177/17456916221075615

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

Rouy, M. , de Gardelle, V., Reyes, G., Sackur, J., Vergnaud , J., Filevich, E. & Nathan, F. (2022). Metacognitive improvement: Disentangling adaptive training from experimental confounds. Journal of Experimental Psychology: General. doi:10.1037/xge0001185

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

Angeletos Chrysaitis, N. , Jardri, R., Denève, S. & Seriès, P. (2021). No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology, 17(9), e1009006. doi:10.1371/journal.pcbi.1009006

Cayco Gajic, A. & Zylberberg, A. (2021). Good decisions require more than information. Nature Neuroscience, 2', 903-904. doi:10.1038/s41593-021-00883-9

Chaabouni, R., Kharitonov, E., Dupoux, E. & Baroni, M. (2021). Communicating artificial neural networks develop efficient color-naming systems. PNAS, 118(12), e2016569118. doi:10.1073/pnas.2016569118