Publications

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

Derome, M., Kozuharova, P., O Diaconescu, A., Denève, S., Jardri, R. & Allen, P. (2023). Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. NeuroImage, 278, 120280. doi:10.1016/j.neuroimage.2023.120280

Bourgeois-Gironde, S. & Ferreira, J. (2023). The expressive power of voting rules. Soc Choice Welf. doi:10.1007/s00355-023-01486-y

Munuera, J., Ribes Agost, M., Bendetowicz, D., Kerebel, A., Chambon, V. & Lau, B. (2023). Intrinsic motivation for choice varies with individual risk attitudes and the controllability of the environment. PLoS computational biology, 19(8), e1010551. doi:10.1371/journal.pcbi.1010551

Vantrepotte, Q., Chambon, V. & Berberian, B. (2023). The reliability of assistance systems modulates the sense of control and acceptability of human operators. Scientific reports, 13(1), 14410. doi:10.1038/s41598-023-41253-8

Nguyen, T. , Kharitonov, E., Copet, J. , Adi, Y. , Hsu, W. , Elkahky, A. , Tomasello, P. , Algayres, R., Sagot, B., Mohamed, A. & Dupoux, E. (2023). Generative Spoken Dialogue Language Modeling. Transactions of the Association for Computational Linguistics, 11, 250–266. doi:10.1162/tacl_a_00545

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

Riochet, R., Ynocente Castro, M., Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E. (2022). IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. , Vol. 44: In IEEE Transactions on Pattern Analysis and Machine Intelligence, 5016-5025. doi:10.1109/TPAMI.2021.3083839

Bernard, M., Poli, M. , Karadayi, J. & Dupoux, E. (2023). Shennong: A Python toolbox for audio speech features extraction. Behavior research methods, . doi:10.3758/s13428-022-02029-6

Palminteri, S. (2023). Choice-confirmation bias and gradual perseveration in human reinforcement learning. Behavioral neuroscience, 137(1), 78-88. doi:10.1037/bne0000541

Bavard, S. & Palminteri, S. (2023). The functional form of value normalization in human reinforcement learning. eLife, 12, e83891. doi:10.7554/eLife.83891

Vandendriessche, H. & Palminteri, S. (2023). Neurocognitive biases from the lab to real life. Communications biology, 6(1), 158. doi:10.1038/s42003-023-04544-4

Palminteri, S. & Cecchi, R. (2023). Objective models of subjective feelings. Neuroscience and biobehavioral reviews, 151, 105233. doi:10.1016/j.neubiorev.2023.105233

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington's disease: a lightweight speech test. Journal of neurology, 269(9), 5008-5021. doi:10.1007/s00415-022-11148-1

Lunven, M., Hernandez Dominguez, K., Youssov, K., Hamet Bagnou, J., Fliss, R. , Vandendriessche, H., Bapst, B. , Morgado, G., Remy, P., Schubert, R. , Reilmann, R., Busse, M., Craufurd, D., Massart, R., Rosser, A. & Bachoud-Levi, A. (2023). A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington's disease. Brain communications, 5(2), fcad043. doi:10.1093/braincomms/fcad043

Anlló, H., Bavard, S., Benmarrakchi, F., Bonagura, D., Cerrotti, F., Cicue, M., Gueguen, M., Guzmán, E., Kadieva, D., Kobayashi, M., Lukumon, G., Sartorio, M., Yang, J., Zinchenko, O., Bahrami, B., Silva, J., Hertz, U., Konova, A., Li, J., O'Madagain, C., Navajas, J., Reyes, G., Sarabi-Jamab, A., Shestakova, A. , Sukumaran, B., Watanabe, K. & Palminteri, S. (2023). Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwide. Research square, . doi:10.21203/rs.3.rs-2621222/v1

Salem-Garcia, N., Palminteri, S. & Lebreton, M. (2023). Linking confidence biases to reinforcement-learning processes. Psychological review, . doi:10.1037/rev0000424

Baptista, A., Chambon, V., Hoertel, N., Olfson, M. , Blanco, C. , Cohen, D. & O Jacquet, P. (2023). Associations Between Early Life Adversity, Reproduction-Oriented Life Strategy, and Borderline Personality Disorder. JAMA psychiatry, . doi:10.1001/jamapsychiatry.2023.0694

Lenglin, V., Wong, S. , O'Callaghan, C. , Erzinçlioǧlu, S. , Hornberger, M., Lebouvier, T., Piguet, O., Bourgeois-Gironde, S. & Bertoux, M. (2023). Zero the hero: Evidence for involvement of the ventromedial prefrontal cortex in affective bias for free items. Cortex, 160, 24-42. doi:10.1016/j.cortex.2022.12.009

Garcia, B., Lebreton, M., Bourgeois-Gironde, S. & Palminteri, S. (2023). Experiential values are underweighted in decisions involving symbolic options. Nature human behaviour, . doi:10.1038/s41562-022-01496-3

Chierchia, G. , Soukupová, M., Kilford, E., Griffin, C. , Leung, J. , Palminteri, S. & Blakemore, S. (2022). Confirmatory reinforcement learning changes with age during adolescence. Developmental Science, .(e13330). doi:10.1111/desc.13330

Nair, A. , B. Johnson, E. , Gregory, S. , Osborne-Crowley, K. , Zeun, P. , Scahill, R. , Lowe, J. , Papoutsi, M., Palminteri, S., Rutledge, R. , Rees, G. & Tabrizi, S. (2021). Aberrant Striatal Value Representation in Huntington's Disease Gene Carriers 25 Years Before Onset. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(9), 910-918. doi:10.1016/j.bpsc.2020.12.015

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Phil. Trans. R. Soc. B, 376, 20190665. doi:10.1098/rstb.2019.0665

Azzalini, D., Buot, A., Palminteri, S. & Tallon-Baudry, C. (2021). Responses to Heartbeats in Ventromedial Prefrontal Cortex Contribute to Subjective Preference-Based Decisions. Journal of Neuroscience, 41(23), 5102-5114. doi:10.1523/JNEUROSCI.1932-20.2021

Vandendriessche, H., Demmou, A. , Bavard, S., Yadak, J. , Lemogne, C. , Mauras, T. & Palminteri, S. (2022). Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias? Psychological Medicine, ., 1-11. doi:10.1017/S0033291722001593

Bavard, S. & Palminteri, S. (2021). Why unchosen options linger in our minds. Communications Biology , 4, 1271. doi:10.1038/s42003-021-02803-w

Angeletos Chrysaitis, N. , Jardri, R., Denève, S. & Seriès, P. (2021). No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology, 17(9), e1009006. doi:10.1371/journal.pcbi.1009006

Leptourgos, P., Bouttier, V., Denève, S. & Jardri, R. (2022). From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosis. Neuroscience & Biobehavioral Reviews, 135, 104593. doi:10.1016/j.neubiorev.2022.104593

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

Anlló, H., Katsumi, W., Sackur, J. & de Gardelle, V. (2022). Effects of false statements on visual perception hinge on social suggestibility. J Exp Psychol Hum Percept Perform, 48(8), 889–900. doi:10.1037/xhp0001024