Publications

Dubourg, E. & Baumard, N. (2023). Do Fictions Impact People's Beliefs? A Critical View. The Routledge Handbook of Fiction and Belief (Routledge ed., pp. 18).

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Millet, J., Caucheteux, C. , Boubenec, Y., Gramfort, A., Dunbar, E., Pallier, C. & King, J. (2022). Toward a realistic model of speech processing in the brain with self-supervised learning. , Vol. 35: In 36th Conference on Neural Information Processing Systems, 33428-33443.

Poli, M. , Dupoux, E. & Riad, R. (2023). Introducing Topography in Convolutional Neural Networks. In CASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 1-5. doi:10.1109/ICASSP49357.2023.10096671

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

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

Langlais, P. , Camps, J. , Baumard, N. & Morin, O. (2022). From Roland to Conan: First results on the corpus of French literary fictions (1050-1920) In Digital Humanities 2022 (DH2022), Tokyo, Japan.

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

Bachoud-Levi, A. (2017). From open to large-scale randomized cell transplantation trials in Huntington's disease: Lessons from the multicentric intracerebral grafting in Huntington's disease trial (MIG-HD) and previous pilot studies. Prog Brain Res. (Vol. 230, pp. 227-261). doi:10.1016/bs.pbr.2016.12.011

Baumard, N. & Cova, F. (2018). De la coopération à la culture. In Andler, Collins, Tallon-Baudry (Eds.), La cognition. Du neurone à la société (pp. 563-597). Paris: Gallimard

Caucheteux, C. , Gramfort, A. & King, J. (2021). Disentangling syntax and semantics in the brain with deep networks. , Vol. 139: In International Conference on Machine Learning, PMLR, 1336-1348.

Chevallier, C. (2019). Theory of mind and autism: Revisiting Baron-Cohen et al.’s Sally-Anne study. In A. Slater and P. Quinn (Eds.), Developmental Psychology: Revisiting the Classic Studies 2nd edition (pp. 148-163).Sage

Ecoffet, P., Andre, J. & Bredeche, N. (2020). Learning to Cooperate in a Socially Optimal Way in Swarm Robotics. In ALIFE 2020: The 2020 Conference on Artificial Life, 251-259. doi:10.1162/isal_a_00315

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Fenelon, G. (2019). Hallucinations visuelles. In Hélène Amievia, Antoinette Prouteau, Olivier Martinaud (Eds.), Neuropsychologie en psychiatrie

Jacquemot, C. (2019). Coupling language and executive functions for premanifest and early Huntington’s Disease follow up. , Vol. 24: In Spraak- en Taalpathologie, 77-79.

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

Mercier, H. & Sperber, D. (2020). Bounded reason in a social world. In Ricardo Viale (Eds.), Routledge Handbook of Bounded Rationality

Mercier, H. (2019 in press). A paradox of information aggregation: We do it well but think about it poorly, and why this is a problem for institutions. In Ballantyne, N. & Dunning, D. (Eds.), Reason, Bias, and Inquiry: New Perspectives from the Crossroads of Epistemology and PsychologyOxford University Press

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Pressnitzer, D., Agus, T., Kang, H. , Graves, J. & Andrillon, T. (2021). Apprentissage de motifs sonores. In S. Samson, B. Tillmann, C. Jourdan, V. Brun (Eds.), Audition et Cognition Montpellier: Sauramps Medical

Ramus, F., Peperkamp, S., Christophe, A., Jacquemot, C., Kouider, S. & Dupoux, E. (2010). A Psycholinguistic Perspective on the Acquisition of Phonology. In C. Fougeron (Eds.), Laboratory Phonology (Vol. 10 ).De Gruyter Mouton

Shamma, S. (2020). Temporal Coherence Principle in Scene Analysis. The Senses: A Comprehensive Reference (Second Edition) (Vol. 2, pp. 777-790).Elsevier. doi:10.1016/B978-0-12-809324-5.24252-1

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.