Publications

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

Caucheteux, C. , Gramfort, A. & King, J. (2022). Deep language algorithms predict semantic comprehension from brain activity. , 1é(16327). doi:10.1038/s41598-022-20460-9

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

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

Jurado, C., Chow, P., Leung, L., Larrea, M., Vizuete, J., de Cheveigné, A. & Marquart, T. (2022). The Spectral Extent of Phasic Suppression of Loudness and Distortion-Product Otoacoustic Emissions by Infrasound and Low-Frequency Tones. Journal of the Association for Research in Otolaryngology (JARO), 23(2), 167-181. doi:10.1007/s10162-021-00830-2

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

Grinfeder, E., Lorenzi, C., Haupert, S. & Sueur, J. (2022). What Do We Mean by “Soundscape”? A Functional Description. Front. Ecol. Evol, 10, 894232. doi:10.3389/fevo.2022.894232

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

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

Li, K., Rajendran, V., Mishra, A. , Chan, C. & Schnupp, J. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research, 409, 108331. doi:10.1016/j.heares.2021.108331

Di Liberto, G., Hjortkjær, J. & Nima, M. (2022). Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine. Front. Neurosci. doi:10.3389/fnins.2022.872600

Attaheri, A. , Choisdealbha, Á. , Di Liberto, G., Rocha, S. , Brusini, P. , Mead, N. , Olawole-Scott, H. , Boutris, P., Gibbon, S. , Williams, I. , Grey, C. , Flanagan, S. & Goswami, U. (2022). Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 247, 118698. doi:10.1016/j.neuroimage.2021.118698

Osses , A. , Varnet, L., Carney, L. , Dau, T. , Bruce, I. , Verhulst, S. & Majdak, P. (2022). A comparative study of eight human auditory models of monaural processing. Acta Acustica, 6(17), 24. doi:10.1051/aacus/2022008

M Siriwardena, Y., Marion, G. & Shamma, S. (2022). The Mirrornet: Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 946-950. doi:10.1109/ICASSP43922.2022.9747358

Parikh, R. , Kavalerov, I. , Espy-Wilson, C. & Shamma, S. (2022). Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 536-540. doi:10.1109/ICASSP43922.2022.9747314

Agus, T. & Pressnitzer, D. (2021). Repetition detection and rapid auditory learning for stochastic tone clouds. The Journal of the Acoustical Society of America, 150, 1735. doi:10.1121/10.0005935

Graves, J., Egré, P., Pressnitzer, D. & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. , Vol. 18: In Proceedings of the National Academy of Sciences, e2107997118. doi:10.1073/pnas.2107997118

Berthommier, F. & Lorenzi, C. (2021). Implications of Physiological Mechanisms of Amplitude Modulation Processing for Modeling Complex Sounds Analysis and Separation. (pp. 12). doi:10.1201/9781003064183

Varnet, L. & Lorenzi, C. (2022). Probing temporal modulation detection in white noise using intrinsic envelope fluctuations: A reverse-correlation study. Journal of the Acoustical Society of America, 151(2), 1353-1366. doi:10.1121/10.0009629

Caucheteux, C. & King, J. (2022). Brains and algorithms partially converge in natural language processing. Nature Communications Biology , 5, 134. doi:10.1038/s42003-022-03036-1

Lemi, L. , Gwilliams, L., Samaha, J., Auksztulewicz, R., M Cycowicz, Y. , King, J. , Nikulin, V., Thesen, T. , Doyle, W. , Devinsky, O. , E Schroeder, C. , Melloni, L. & Haegens, S. (2022). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage , 247, 118746. doi:10.1016/j.neuroimage.2021.118746