Publications

M Price, K., G Wigg, K., Eising, E. , Feng, Y. , Blokland, K., Wilkinson, M., N Kerr, E., L Guger, S., Trait Working Group Of The Genlang Consortium, Q., Ramus, F., E Fisher, S., W Lovett, M., J Strug, L. & L Barr, C. (2022). Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities. Translational psychiatry, 12(495), 1-9. doi:10.1038/s41398-022-02250-z

Liu, Y., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2022). Neural dissociation of visual attention span and phonological deficits in developmental dyslexia: A hub-based white matter network analysis. Human Brain Mapping, 43(17). doi:10.1002/hbm.25997

Zhao, J., Song, Z., Zhao, Y., Thiebaut De Schotten, M., Altarelli, I. & Ramus, F. (2022). White matter connectivity in uncinate fasciculus accounts for visual attention span in developmental dyslexia. Neuropsychologia, 177, 108414. doi:10.1016/j.neuropsychologia.2022.108414

Doust, C., Fontanillas, P., Eising, E. , D Gordon, S., Wang, Z., Alagöz, G., Molz, B., Research Team, 2., Ramus, F., St Pourcain, B., Francks, C., E Marioni, R., Zhao, J., Paracchini, S., B Talcott, J., P Monaco, A., F Stein, J., R Gruen, J., K Olson, R., G Willcutt, E., C Defries, J., F Pennington, B., D Smith, S., J Wright, M., G Martin, N., Auton, A., C Bates, T., E Fisher, S. & Luciano, M. (2022). Discovery of 42 genome-wide significant loci associated with dyslexia. Nature genetics, 54(11), 1621-1629. doi:10.1038/s41588-022-01192-y

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

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2021). Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel. In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 211-214. doi:10.1109/DCNA53427.2021.9586968

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Calculation of travelling chimera speeds for dynamical systems with ring topologies. In 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 61-64. doi:10.1109/DCNA53427.2021.9586903

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Multistability of coherent states in ring networks of type II neurons with asymmetrical nonlocal inhibitory connectivity. Journal of Computational Neuroscience. doi:10.1016/j.chaos.2021.111541

Eising, E. , Mirza-Schreiber, N. , de Zeeuw, E. , ..., .., Ramus, F. & (Et Al), . (2022). Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. PNAS, 19(35), e2202764119. doi:10.1073/pnas.2202764119

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

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

Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Bachoud-Levi, A. & Dupoux, E. (2022). A comparison study on patient-psychologist voice diarization. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), Dublin, Ireland: Association for Computational Linguistics, 30-36. doi:10.18653/v1/2022.slpat-1.4

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

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

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2022). Comparing brain asymmetries independently of brain size. NeuroImage, 254, 119118. doi:10.1016/j.neuroimage.2022.119118

Ramus, F., Di Folco , C. , Guez, A. & Peyre, H. (2021). Epidémiologie des troubles de la lecture en France : une comparaison du DSM-5 et de la CIM-11. Approche neuropsychologique des apprentissages chez l'enfant, 175, 639-649

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

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

Winkler, M. , Dumont, G., Schöll, E. & Gutkin, B. (2021). Phase response approaches to neural activity models with distributed delay. Bio Cybern. doi:10.1007/s00422-021-00910-9

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

de Seyssel, M., Wisniewski, G., Dupoux, E. & Ludusan, B. (2022). Investigating the usefulness of i-vectors for automatic language characterization. In Speech Prosody 2022, Lisbon, Portugal. doi:10.21437/SpeechProsody.2022-94

Dunbar, E., Bernard, M., Hamilakis, N., Nguyen, T. , de Seyssel, M., Rozé, P., Rivière, M., Kharitonov, E. & Dupoux, E. (2021). The Zero Resource Speech Challenge 2021: Spoken language modelling. In Conference of the International Speech Communication Association, Brno, Czech Republic. doi:10.1109/TPAMI.2021.3083839