Publications

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

Pacherie, E., Le Bars, S., Bourgeois-Gironde, S., Wyart, V., Sari, I. & Chambon, V. (2022). Motor coordination and strategic cooperation in joint action. Psychological science, 33(5), 736-751. doi:10.1177/09567976211053275

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

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

Caziot, B. & Mamassian, P. (2021). Perceptual confidence judgments reflect self-consistency. Journal of Vision, 21(12), 8. doi:10.1167/jov.21.12.8

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

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

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

Neri, P. (2022). Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations Author links open overlay panel. Neural Networks, 152, 244-266. doi:10.1016/j.neunet.2022.04.023

Ota, K. , Wu, Q. , Mamassian, P. & Maloney, L. (2021). Modeling visual estimation of the centers of symmetric distributions. , 21(9), 2381. doi:10.1167/jov.21.9.2381

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Neural signatures of confidence after the completion of a perceptual decision. Journal of Vision, 21(9). doi:10.1167/jov.21.9.2518

Mamassian, P. (2022). Uncertain perceptual confidence. Nature Human Behaviour, 6, 179-180. doi:10.1038/s41562-021-01248-9

Kurzawski, J., Lunghi, C., Biagi, L., Tosetti, M., Maria Concetta, M. & Binda, P. (2022). Short-term plasticity in the human visual thalamus. eLife, 11. doi:10.7554/eLife.74565

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

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022