Publications

Calmels, C., Pichon, S. & Grèzes, J. (2014). Can we simulate an action that we temporarily cannot perform? Neurophysiologie Clinique/Clinical Neurophysiology, 44(5), 433-445. doi:10.1016/j.neucli.2014.08.004

Boubenec, Y., Lawlor, J., Shamma, S. & Englitz, B. (2016). Change Detection in Auditory Textures. Advances in experimental medicine and biology, 894, 229-239. doi:10.1007/978-3-319-25474-6_24

Jacquet, P., Roy, A., Chambon, V., Borghi, A., Salemme, R., Farnè, A. & Reilly, K. (2016). Changing ideas about others' intentions: updating prior expectations tunes activity in the human motor system. Scientific reports, 6, 26995. doi:10.1038/srep26995

Agus, T., Suied, C., Thorpe, S. & Pressnitzer, D. (2010). Characteristics of human voice processing. , 2010

Thoret, E., Varnet, L., Boubenec, Y., Ferriere, R., Le Tourneau , F., Krause, B. & Lorenzi, C. (2020). Characterizing amplitude and frequency modulation cues in natural soundscapes: A pilot study in four habitats of a biosphere reserve. Journal of the Acoustical Society of America, 147, 3260-3274. doi:10.1121/10.0001174

Lettinga, N., Mell, H., Algan, Y., Jacquet, P. & Chevallier, C. (2021). Childhood environmental adversity is not linked to lower levels of cooperative behaviour in economic games. Evolutionary Human Sciences, 3, E29. doi:10.1017/ehs.2021.21

Safra, L., Algan, Y., Tecu, T., Grèzes, J., Baumard, N. & Chevallier, C. (2017). Childhood harshness predicts long-lasting leader preferences. Evolution and Human Behavior, 38(5), 645-651. doi:10.1016/j.evolhumbehav.2017.05.001

Jardri, R., Leptourgos, P., Bouttier, V. & Denève, S. (2020). Circular Inference and Hallucinations. Biological Psychiatry, 87(9), S41-S42. doi:10.1016/j.biopsych.2020.02.131

Leptourgos, P., Notredame, C., Jardri, R., Denève, S. & Eck, M. (2020). Circular inference in bistable perception. Journal of Vision, 20(12), 521195. doi:10.1167/jov.20.4.12

Bouttier, V., Duttagupta, S. , Denève, S. & Jardri, R. (2022). Circular inference predicts nonuniform overactivation and dysconnectivity in brain-wide connectomes. Schizophrenia Research, 245, 59-67. doi:10.1016/j.schres.2020.12.045

Chanel, G., Pichon, S., Conty, L., Berthoz, S., Chevallier, C. & Grèzes, J. (2016). Classification of autistic individuals and controls using cross-task characterization of fMRI activity. Neuroimage-Clinical, 10, 78-88. doi:10.1016/j.nicl.2015.11.010

Chanel, G., Pichon, S., Conty, L., Berthoz, S., Chevallier, C. & Grèzes, J. (2015). Classification of autistic individuals and controls using cross-task characterization of fMRI activity. NeuroImage. Clinical, 10, 78-88. doi:10.1016/j.nicl.2015.11.010

Mell, H., Safra, L., Baumard, N. & Jacquet, P. (2017). Climate is not a good candidate to account for variations in aggression and violence across space and time. The Behavioral and brain sciences, 40, e91. doi:10.1017/S0140525X16001060

Baumard, N., Safra, L., Martins, M. & Chevallier, C. (2023). Cognitive fossils: using cultural artifacts to reconstruct psychological changes throughout history. Trends in Cognitive Sciences, . doi:10.1016/j.tics.2023.10.001

Grèzes, J. & Dezecache, G. (2012). Communication émotionnelle: mécanismes cognitifs et cérébraux. In P. Allain, G. Aubin & D. Le Gal (Eds.), Cognition Sociale et NeuropsychologieSolal

Wallaert, N., Moore, B. & Lorenzi, C. (2016). Comparing the effects of age on amplitude modulation and frequency modulation detection. The Journal of the Acoustical Society of America, 139(6), 3088. doi:10.1121/1.4953019

de Cheveigné, A., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

Koren, V. & Denève, S. (2017). Computational Account of Spontaneous Activity as a Signature of Predictive Coding. PLoS computational biology, 13(1), e1005355. doi:10.1371/journal.pcbi.1005355

Chambers, C., Elgueda, D. , Fritz, J. , Shamma, S., Burkitt, A. & Grayden David, B. (2019). Computational Neural Modeling of Auditory Cortical Receptive Fields. Front. Comput. Neurosci. doi:10.3389/fncom.2019.00028

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

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Bravard, R., Demany, L. & Pressnitzer, D. (2023). Controlling audibility with noise for online experiments using sound. JASA express letters, 3(6), 064402. doi:10.1121/10.0019807

Di Liberto, G., PELOFI, C., Bianco, R. , Patel, P. , Mehta, A. , Herrero, J. , de Cheveigné, A., Shamma, S. & Mesgarani, N. (2021). Cortical encoding of melodic expectations in human temporal cortex. e-Life, 9, e51784. doi:10.7554/eLife.51784

Ruggles, D., Tausend, A., Shamma, S. & Oxenham, A. (2018). Cortical markers of auditory stream segregation revealed for streaming based on tonotopy but not pitch. The Journal of the Acoustical Society of America, 144(4), 2424. doi:10.1121/1.5065392

Van Den Stock, J., Tamietto, M., Sorger, B., Pichon, S., Grèzes, J. & De Gelder, B. (2011). Cortico-subcortical visual, somatosensory, and motor activations for perceiving dynamic whole-body emotional expressions with and without striate cortex (V1). Proceedings of the National Academy of Sciences of the United States of America, 108(39), 16188-93. doi:10.1073/pnas.1107214108

Chevallier, C., Hacquin, A. & Mercier, H. (2021). COVID-19 Vaccine Hesitancy: Shortening the Last Mile. Trends in Cognitive Sciences, 25(5), 331–333. doi:10.1016/j.tics.2021.02.002

Batty, M., Kovarski, K. & Meaux, E. (2018). De l’exploration à la perception des visages chez les personnes avec un trouble du spectre de l’autisme. Neuropsychologie et remédiations des troubles du spectre de l’autismeEditions deboeck Supérieur

Défossez, A., Caucheteux, C. , Rapin, J. & King, J. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence volume, 5, 1097–1107. doi:10.1038/s42256-023-00714-5

Albouy , P. , Caclin, A. , Norman-Haignere, S., Lévêque, Y. , Peretz, I. , Tillmann, B. & J Zatorre, R. (2019). Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia. Front Neurosci ., 13, 1165. doi:10.3389/fnins.2019.01165