Publications

Williams, C., Peyre, H., Toro, R., Beggiato, A. & Ramus, F. (2020). Adjusting for allometric scaling in ABIDE I challenges subcortical volume differences in autism spectrum disorder. Human Brain Mapping, 41(16), 4610‑4629. doi:10.1002/hbm.25145

Wolpert, N., Rebollo, I. & Tallon-Baudry, C. (2020). Electrogastrography for psychophysiological research: Practical considerations, analysis pipeline, and normative data in a large sample. Psychophysiology, 57(9), e 13599. doi:10.1111/psyp.13599

Azzalini, D., Rebollo, I. & Tallon-Baudry, C. (2019). Visceral Signals Shape Brain Dynamics and Cognition. Trends in Cognitive Sciences , 23(6), 488-509. doi:10.1016/j.tics.2019.03.007

Babo-Rebelo, M., Buot, A. & Tallon-Baudry, C. (2019). Neural responses to heartbeats distinguish self from other during imagination. NeuroImage, 191, 10-20. doi:10.1016/j.neuroimage.2019.02.012

Couvignou, M., Peretz, I. & Ramus, F. (2019 ). Comorbidity and cognitive overlap between developmental dyslexia and congenital amusia. Cognitive neuropsychology, 36(1-2), 1-17. doi:10.1080/02643294.2019.1578205

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Fontanesi , L., Palminteri, S. & Lebreton, M. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. Cognitive Affective Behavioral Neuroscience, 1-13. doi:10.3758/s13415-019-00723-1

Gialluisi, A., Andlauer, T., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K., Czamara, D., St Pourcain, B., Brandler, W., Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Morris, A., Hulslander, J., Willcutt, E., Defries, J., Olson, R., Smith, S., Pennington, B., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P., Brandeis, D., Bonte, M., Stein, J., Talcott, J., Fauchereau, F., Wilcke, A., Francks, C., Bourgeron, T., Monaco, A., Ramus, F., Landerl, K., Kere, J., Scerri, T., Paracchini, S., Fisher, S., Schumacher, J., Nöthen, M., Müller-Myhsok, B. & Schulte-Körne, G. (2019). Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia. Translational psychiatry, 9(1), 77. doi:10.1038/s41398-019-0402-0

Havron, N., Ramus, F., Heude, B., Forhan, A., Cristia, A. & Peyre, H. (2019). The effect of siblings on language development as a function of age difference and sex. Psychological Science, 30(9), 1333-1343. doi:10.31234/osf.io/fgpmd

Kim , K., Ladenbauer, J., Babo-Rebelo, M., Buot, A., Kehongre , K., Adam, C., Hasboun, D., Lambrecq , V., Navarro , V., Ostojic, S. & Tallon-Baudry, C. (2019 ). Resting-state neural firing is linked to cardiac cycle duration in the human cingulate and parahippocampal cortices. Journal of Neuroscience , 39(19), 3676-3686. doi:10.1523/JNEUROSCI.2291-18.2019

Latimier, A. , Riegert, A. , Ly, S. , Peyre, H., Casati, R. & Ramus, F. (2019). Does pre-testing promote better retention than post-testing? npj Science of Learning, 4(15). doi:10.1038/s41539-019-0053-1

Latimier, A., Kovarski, K., Peyre, H., Fernandez, L. , Gras, D., Leboyer, M. & Zalla, T. (2019). Trustworthiness and Dominance Personality Traits’ Judgments in Adults with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. doi:10.1007/s10803-019-04163-1

Lebreton, M., Bacily , K., Palminteri, S. & Engelmann, J. (2019). Contextual influence on confidence judgments in human reinforcement learning. PLoS Comput Biol, 15(4), e1006973. doi:10.1371/journal.pcbi.1006973

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

Lou, C., Duan, X., Altarelli, I., Sweeney, J., Ramus, F. & Zhao, J. (2019). White matter network connectivity deficits in developmental dyslexia. Human brain mapping, 40(2), 505-516. doi:10.1002/hbm.24390

Michel, M. , Beck, D. , .., .., King, J. , Kouider, S., Tallon-Baudry, C. & Yoshida , M. (2019). Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour, 3, 104-107. doi:10.1038/s41562-019-0531-8

Peyre, H., Hoertel, N., Bernard, J., Rouffignac, C., Forhan, A., Taine, M., Heude, B. & Ramus, F. (2019). Sex differences in psychomotor development during the preschool period: A longitudinal study of the effects of environmental factors and of emotional, behavioral, and social functioning. Journal of experimental child psychology, 178, 369-384. doi:10.1016/j.jecp.2018.09.002

Peyre, H., Albaret, J., Bernard, J., Hoertel, N., Melchior, M., Forhan, A., Taine, M., Heude, B., De Agostini, M., Galera, C. & Ramus, F. (2019). Developmental trajectories of fine motor skills during the preschool period. European Child & Adolescent Psychiatry, 28(11), 1461-1474. doi:10.1007/s00787-019-01311-x

Safra, L., Chevallier, C. & Palminteri, S. (2019). Depressive symptoms are associated with blunted reward learning in social contexts. PLOS Computational Biology, 15(7), e1007224. doi:10.1371/journal.pcbi.1007224

Safra, L., Palminteri, S. & Chevallier, C. (2019). Social information impairs reward learning in depressive subjects: behavioral and computational characterization. Plos Computational Biology, 15(7), e1007224. doi:10.1101/378281

Sidarus, N., Palminteri, S. & Chambon, V. (2019). Cost-benefit trade-offs in decision-making and learning. PLOS Computational Biology, 15(9), e1007326. doi:10.1371/journal.pcbi.1007326

Bavard, S., Lebreton, M., Khamassi, M., Coricelli, G. & Palminteri, S. (2018). Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences. Nature Communications, 9(4503)

Correa, C. , Noorman, S. , Jiang, J. , Palminteri, S., Cohen, M. , Lebreton, M. & van Gaal, S. (2018). How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning. Journal of Neuroscience , 0457-18. doi:10.1523/JNEUROSCI.0457-18.2018

Giavazzi, M., Daland, R., Palminteri, S., Peperkamp, S., Brugières, P., Jacquemot, C., Schramm, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2018 ). The role of the striatum in linguistic selection: Evidence from Huntington’s disease and computational modeling. Cortex, 109, 189-204. doi:10.1016/j.cortex.2018.08.031

Guez, A., Peyre, H., Le Cam, M., Gauvrit, N. & Ramus, F. (2018). Are high-IQ students more at risk of school failure? Intelligence, 71, 32–40. doi:10.1016/j.intell.2018.09.003

Guez, A., Panaïotis, T. , Peyre, H. & Ramus, F. (2018). Predictors of the IQ-achievement gap in France: A longitudinal analysis. Intelligence, 69, 104-116. doi:10.1016/j.intell.2018.05.008

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

Palminteri, S. & Chevallier, C. (2018). Can We Infer Inter-Individual Differences in Risk-Taking From Behavioral Tasks? Frontiers in psychology, 9, 2307. doi:10.3389/fpsyg.2018.02307

Ramus, F., Altarelli, I., Jednoróg, K., Zhao, J. & Scotto Di Covella, L. (2018). Neuroanatomy of developmental dyslexia: Pitfalls and promise. Neuroscience and biobehavioral reviews, 84, 434-452. doi:10.1016/j.neubiorev.2017.08.001

Rebollo, I., Devauchelle, A., D., Béranger, B. & Tallon-Baudry, C. (2018). Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans. eLife, 7, e33321. doi:10.7554/eLife.33321