Publications

Sensorimotor Learning of Sound Localization from an Auditory Evoked Behavior

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation: a versatile tool for multichannel data analysis. NeuroImage, 98(487-505). doi:10.1016/j.neuroimage.2014.05.068

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. J. Neurophysiol., 112, 3053-3065. doi:10.1152/jn.00189.2014

Wong, D., Di Liberto, G. & de Cheveigné, A. (2019). Accurate Modeling of Brain Responses to Speech. bioRxiv. doi:10.1101/509307

Pressnitzer, D., Patterson, R. & Krumbholz, K. (2001). The lower limit of melodic pitch. Journal of the Acoustical Society of America, 109. doi:10.1121/1.1359797

Pressnitzer, D., Mcadams, S., Winsberg, S. & Fineberg, J. (2000). Perception of musical tension for nontonal orchestral timbres and its relation to psychoacoustic roughness. . doi:10.3758/bf03212061

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., De Wit, S., Robbins, T., Hartmann, A. & Worbe, Y. (2016). Enhanced habit formation in Gilles de la Tourette syndrome. Brain : a journal of neurology, 139(Pt 2), 605-15. doi:10.1093/brain/awv307

Marozeau, J. & de Cheveigné, A. (2007). The effect of fundamental frequency on the brightness dimension of timbre. Journal of the Acoustical Society of America, 121(1), 383-387. doi:10.1121/1.2384910

Le Roux, J., Kameoka, H., Ono, N., de Cheveigné, A. & Sagayama, S. (2007). Single and multiple F-0 contour estimation through parametric spectrogram Modeling of speech in noisy environments. Ieee Transactions on Audio Speech and Language Processing, 15(4), 1135-1145. doi:10.1109/TASL.2007.894510

Leman, M., Avanzini, F., de Cheveigné, A. & Bigand, E. (2007). The societal contexts for sound and music computing: Research, education, industry, and socio-culture. Journal of New Music Research, 36(3), 149-167. doi:10.1080/09298210701859164

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., 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

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

Kang, H. , Macherey, O., Roman, S. & Pressnitzer, D. (2021). Auditory memory for random time patterns in cochlear implant listeners. The Journal of the Acoustical Society of America, 150(3). doi:10.1121/10.0005728

Shamma, S., Patel, P. , Mukherjee, S. , Marion, G. , Khalighinejad, B. , Han, C. , Herrero, J. , Bickel, S. , Mehta, A. & Mesgarani, N. (2021). Learning Speech Production and Perception through Sensorimotor Interactions. Cerebral Cortex Communications, 2(1), taag091. doi:10.1093/texcom/tgaa091

Bourdillon, P. , Hermann, B. , Guénot, M. , Bastuji-Garin, S., Isnard, J., King, J. , Sitt, J. & Naccache, L. (2020). Brain-scale cortico-cortical functional connectivity in the delta-theta band is a robust signature of conscious states: an intracranial and scalp EEG study. Scientific Reports, 10, 14037. doi:10.1038/s41598-020-70447-7

de Cheveigné, A. (2021). Shared component analysis. NeuroImage, 226, 117614. doi:10.1016/j.neuroimage.2020.117614

Chambon, V., Thero, H., Vidal, M., Vandendriessche, H., Haggard, P. & Palminteri, S. (2020). Information about action outcomes differentially affects learning from self-determined versus imposed choices. Nature Human Behaviour , 4, 1067-1079. doi:10.1038/s41562-020-0919-5

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

King, J. & Wyart, V. (2021). The Human Brain Encodes a Chronicle of Visual Events at each Instant of Time thanks to the Multiplexing of Traveling Waves. Journal of Neuroscience, 41(34), 7224-7233. doi:10.1523/JNEUROSCI.2098-20.2021

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Palminteri, S. & Maël, L. (2021). Context-dependent outcome encoding in human reinforcement learning. Current Opinion in Behavioral Sciences, 41, 144-151. doi:10.1016/j.cobeha.2021.06.006

Bavard, S., Rustichini, A. & Palminteri, S. (2021). Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning. Science Advances, 7(14). doi:10.1126/sciadv.abe0340

Skvortsova , V., Palminteri, S., Buot, A., Karachi, C., Welter, M., Grabli, D. & Pessiglione, M. (2020). A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning. Current Biology, 31(5). doi:10.1016/j.cub.2020.11.042

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical transactions of the royal society B, 376(1819). doi:10.1098/rstb.2019.0665

Bouchacourt, F., Palminteri, S., Koechlin, E. & Ostojic, S. (2020). Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife, 9, e50469. doi:10.7554/eLife.50469

Broderick, M., Di Liberto, G., Anderson, A., Rofes, A. & Edmund C., L. (2021). Dissociable electrophysiological measures of natural language processing reveal differences in speech comprehension strategy in healthy ageing. Scientific Reports, 11, 4963. doi:10.1038/s41598-021-84597-9

Di Liberto, G., Marion, G. & Shamma, S. (2021). Accurate Decoding of Imagined and Heard Melodies. Frontiers in Neuroscience, 15, 673401. doi:10.3389/fnins.2021.673401

Ponsot, E., Varnet, L., Wallaert, N., Daoud, E., Shamma, S., Lorenzi, C. & Neri, P. (2021). Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners. Trends Hear, 25, 2331216520978029. doi:10.1177/2331216520978029

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027