Publications

Lizarazu, M., Scotto Di Covella, L., van Wassenhove, V. , Rivière, D., Mizzi, R. , Lehongre, K., Hertz-Pannier, L. & Ramus, F. (2021). Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex, 137, 160-178. doi:10.1016/j.cortex.2020.12.024

Gialluisi, A., Andlauer, T., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K., Czamara, D., Pourcain, B. , Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Chaix, Y., Iannuzzi, S., Démonet, J., Morris, A., Hulslander, J., Willcutt, E., Defries, J., Olson, R., Smith, S., Pennington, B., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P., Brandeis, D., Bonte, M., Stein, J., Talcott, J., Fauchereau, F., Wilcke, A., Kirsten, H., Müller, B., Francks, C., Bourgeron, T., Monaco, A., Ramus, F., Landerl, K., Kere, J., Scerri, T., Paracchini, S., Fisher, S., Schumacher, J., Nöthen, M., Müller-Myhsok, B. & Schulte-Körne, G. (2021). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry, 26 (7), 3004-3017. doi:10.1038/s41380-020-00898-x

Guez, A., Peyre, H., Williams, C., Labouret, G. & Ramus, F. (2021). The epidemiology of cognitive development. Cognition, 213, 104690. doi:10.1016/j.cognition.2021.104690

Ramus, F. & Peyre, H. (2021). Can the Prevalence of ADHD Really be 0.3%? Journal of Attention Disorders, 25(10), 1351‑1351. doi:1d0o.i1.o1r7g/71/01.1018770/150487205049782609286892

Latimier, A., Peyre, H. & Ramus, F. (2020). A Meta-Analytic Review of the Benefit of Spacing out Retrieval Practice Episodes on Retention. Educational Psychology Review, 33(3), 959-987. doi:10.1007/s10648-020-09572-8

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2021). Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age. Human Brain Mapping, 42(14), 4623-4642. doi:10.1002/hbm.25572

Di Folco , C. , Guez, A., Peyre, H. & Ramus, F. (2021). Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria. Scientific Studies of Reading, NA. doi:10.1080/10888438.2021.1998067

Liu , T., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2021). Maladaptive compensation of right fusiform gyrus in developmental dyslexia: A hub-based white matter network analysis. Cortex, 145, 57‑66. doi:10.1016/j.cortex.2021.07.016

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

Liu, S. , Wei, W. , Chen, Y. , Peyre, H. & Zhao, J. (2021). Visual–Spatial Ability Predicts Academic Achievement Through Arithmetic and Reading Abilities. Front. Psychol. doi:10.3389/fpsyg.2020.591308

Liu, C. , Tabea, S., M Davies, N. , Peyre, H., Lim, K. , Barker, E. , Llewellyn, C. , Dudbridge, F. & Pingault, J. (2021). Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs. International Journal of Epidemiology, 50(2). doi:10.1093/ije/dyaa214

Kharitonov, E., Rivière, M., Synnaeve, G., Wolf, L., Mazaré, P., Douze, M. & Dupoux, E. (2021). Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. In IEEE (Eds.), In 2021 IEEE Spoken Language Technology Workshop (SLT, 215-222.

Riochet, R., Castro, M. , Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E. (2021). Intphys 2019: A benchmark for visual intuitive physics understanding. In IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/TPAMI.2021.3083839

Riad, R., Karadayi, J., Bachoud-Levi, A. & Dupoux, E. (2021). Learning spectro-temporal representations of complex sounds with parameterized neural networks. The Journal of the Acoustical Society of America, 150, 353. doi:10.1121/10.000548210.1121/10.0005482

Lakhotia, K. , Kharitonov, E., Hsu, W. , Adi, Y. , Polyak, A. , Bolte, B. , Nguyen, T. , Copet, J. , Baevski, A., Mohamed, A. & Dupoux, E. (2021). On Generative Spoken Language Modeling from Raw Audio. Transactions of the Association for Computational Linguistics, 9, 1336-1354. doi:10.1162/tacl_a_00430

Rita, M., Strub, F. , Pietquin, O. & Dupoux, E. (2022). Population size and agent heterogeneity in simulated language emergence. In Proc. of ICLR .

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

Ludusan, B., Morii, M., Minagawa, Y. & Dupoux, E. (2021). The effect of different information sources on prosodic boundary perception. JASA Express Letters , 1(115203 ). doi:10.1121/10.0007150

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

Kouider, S., de Gardelle, V., Sackur, J. & Dupoux, E. (2010 ). How rich is consciousness? The partial awareness hypothesis. Trends in Cognitive Sciences, 14(7), 301-307. doi:10.1016/j.tics.2010.04.006

Kouider, S., de Gardelle, V., Dehaene, S., Dupoux, E. & Pallier, C. (2010). Cerebral bases of subliminal speech priming. Neuroimage, 49(1), 922-929. doi:10.1016/j.neuroimage.2009.08.043

Dupoux, E., de Gardelle, V. & Kouider, S. (2008). Subliminal speech perception and auditory streaming. Cognition, 109(2), 267-273. doi:10.1016/j.cognition.2008.06.012

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2021). Sex differences in the brain are not reduced to differences in body size. Neuroscience & Biobehavioral Reviews, 130, 509-511. doi:10.1016/j.neubiorev.2021.09.015

Bernard, A., Bredeche, N. & Andre, J. (2020). Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters, 4(3), 257-265. doi:10.1002/evl3.155

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

Jardri, R., Duverne, S., Litvinova, A. & Denève, S. (2017). Experimental evidence for circular inference in schizophrenia. Nature communications, 8, 14218. doi:10.1038/ncomms14218

Koren, V. & Denève, S. (2017). Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS computational biology, 13(1), e1005355. doi:10.1371/journal.pcbi.1005355