Publications

Bouton, S., Chambon, V., Tyrand, R., Guggisberg, A., Seeck, M., Karkar, S., Van De Ville, D. & Giraud, A. (2018). Focal versus distributed temporal cortex activity for speech sound category assignment. Proceedings of the National Academy of Sciences of the United States of America, . doi:10.1073/pnas.1714279115

Hertz, U., Palminteri, S., Brunetti, S., Olesen, C., Frith, C. & Bahrami, B. (2017). Neural computations underpinning the strategic management of influence in advice giving. Nature communications, 8(1), 2191. doi:10.1038/s41467-017-02314-5

Palminteri, S., Lefebvre, G., Kilford, E. & Blakemore, S. (2017). Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing. PLoS computational biology, 13(8), e1005684. doi:10.1371/journal.pcbi.1005684

Salvador, A., Worbe, Y., Delorme, C., Coricelli, G., Gaillard, R., Robbins, T., Hartmann, A. & Palminteri, S. (2017). Specific effect of a dopamine partial agonist on counterfactual learning: evidence from Gilles de la Tourette syndrome. Scientific reports, 7(1), 6292. doi:10.1038/s41598-017-06547-8

Palminteri, S. & Pessiglione, M. (2016). Opponent brain systems for reward and punishment learning: Causal evidence from drug and lesion studies in humans. Decision Neuroscience: An Integrative Perspective, 291-303. doi:10.1016/B978-0-12-805308-9.00023-3

Palminteri, S., Kilford, E., Coricelli, G. & Blakemore, S. (2016). The Computational Development of Reinforcement Learning during Adolescence. PLoS Computational Biology, 12(6). doi:10.1371/journal.pcbi.1004953

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

Lorenzi, C. (2023). Human auditory ecology: Extending hearing research to the perception of natural soundscapes by humans. J. Acoust. Soc. Am., 154(A70 ). doi:10.1121/10.0022829

Gwilliams, L., Flick, G., Marantz, A. , Pylkkänen, L., Poeppel, D. & King, J. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific data, 10(1), 862. doi:10.1038/s41597-023-02752-5

C M Gueguen, M., Anlló, H., Bonagura, D., Kong, J., Hafezi, S., Palminteri, S. & B Konova, A. (2023). Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction. Biological psychiatry, . doi:10.1016/j.biopsych.2023.12.005

Lorenzi, C., Apoux, F., Grinfeder, E., Krause, B. , Miller-Viacava, N. & Sueur, J. (2023). Human Auditory Ecology: Extending Hearing Research to the Perception of Natural Soundscapes by Humans in Rapidly Changing Environments. Trends in hearing, . doi:10.1177/23312165231212032

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2024). Sleep deprivation detected by voice analysis. PLoS computational biology, 20(2), e1011849. doi:10.1371/journal.pcbi.1011849

Thoret, E., Andrillon, T., Léger, D. & Pressnitzer, D. (2021). Probing machine-learning classifiers using noise, bubbles, and reverse correlation. Journal of Neuroscience Methods, 362, 109297. doi:10.1016/j.jneumeth.2021.109297

Desbordes, T., King, J. & Dehaene, S. (2024). Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval. Cell reports, 43(3), 113847. doi:10.1016/j.celrep.2024.113847