Publications

Landemard, A., Bimbard, C., Demene, C. , Shamma, S., Norman-Haignere, S. & Boubenec, Y. (2021). Distinct higher-order representations of natural sounds in human and ferret auditory cortex. eLife, 10 , e65566. doi:10.7554/eLife.65566

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

Attia, S., King, A., Varnet, L., Ponsot, E. & Lorenzi, C. (2022). Erratum: Double-pass consistency for amplitude- and frequency-modulation detection in normal-hearing listeners [J. Acoust. Soc. Am. 150, 3631–3647 (2021)] The Journal of the Acoustical Society of America, 151, 1180. doi:10.1121/10.0009583

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

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

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

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

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

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

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

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

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

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

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

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

Castro, V. & Pacherie, E. (2022). Commitments and the sense of joint agency. Mind & Language, . doi:10.1111/mila.12433

Arlegi, R., Bourgeois-Gironde, S. & Hualde, M. (2020). On the Aversion to Incomplete Preferences. Theory and Decision, 90(2), 183–217. doi:10.1007/s11238-020-09779-9

Buehler, D. (2022). Explicating Agency: The Case of Visual Attention. The Philosophical Quarterly, pqac034. doi:10.1093/pq/pqac034

Vantrepotte, Q., Berberian, B., Pagliari, M. & Chambon, V. (2022). Leveraging Human Agency to Improve Confidence and Acceptability in Human-Machine Interactions. Cognition, 222, 105020. doi:10.1016/j.cognition.2022.105020

Baptista, A., Jacquet, P., Sidarus, N., Cohen, D. & Chambon, V. (2022). Susceptibility of Agency Judgments to Social Influence . Cognition, 226, 105173. doi:10.1016/j.cognition.2022.105173

Baptista, A., Cohen, D., Jacquet, P. & Chambon, V. (2021). The Cognitive, Ecological, and Developmental Origins of Self-Disturbance in Borderline Personality Disorder. Frontiers in Psychiatry, 12. doi:10.3389/fpsyt.2021.707091

Csaba Farkas, B. , Jacquet, P. & Chambon, V. (2022). Do perceived control and time orientation mediate the effect of early life adversity on reproductive behaviour and health status? Insights from the European Value Study and the European Social Survey. Humanities and Social Sciences Communications, 9(52). doi:10.1057/s41599-022-01066-y

Belhassein, K., Fernández-Castro, V., Mayima, A., Clodic, A., Pacherie, E., Guidetti, M., Alami, R. & Cochet, H. (2022). Addressing joint action challenges in HRI: Insights from psychology and philosophy. Acta Psychologica, 222, 103476. doi:10.1016/j.actpsy.2021.103476

Pacherie, E. & Mylopoulos, M. (2021). Beyond Automaticity: The Psychological Complexity of Skill. Topoi, 40(3), 649-662. doi:10.1007/s11245-020-09715-0

Fernández Castro, V. & Pacherie, E. (2021). Joint actions, commitments and the need to belong. Synthese, 198(8), 7597-7626. doi:10.1007/s11229-020-02535-0

Mylopoulos, M. & Pacherie, E. (2021). Editorial: "Skilled Action Control?" Review of Philosophy and Psychology, 12(3), 469–480. doi:10.1007/s13164-021-00563-4

Sahai, A., Caspar, E. , De Beir, A. , Grynszpan, O. , Pacherie, E. & Berberian, B. (2022). Modulations of one’s sense of agency during human–machine interactions: A behavioural study using a full humanoid robot. Quarterly Journal of Experimental Psychology, 17470218221095841. doi:10.1177/17470218221095841

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

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

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