Publications

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

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Moll, K., Ramus, F., Bartling, J., Bruder, J., Kunze, S., Neuhoff, N., Streiftau, S., Lyytinen, H., Leppänen, P., Lohvansuu, K., Tóth, D., Honbolygó, F., Csépe, V., Bogliotti, C., Iannuzzi, S., Démonet, J., Longeras, E., Valdois, S., George, F., Soares-Boucaud, I., Le Heuzey, M., Billard, C., O'Donovan, M., Hill, G., Williams, J., Brandeis, D., Maurer, U., Schulz, E., Van Der Mark, S., Müller-Myhsok, B., Schulte-Körne, G. & Landerl, K. (2014). Cognitive mechanisms underlying reading and spelling development in five European orthographies. Learning and Instruction, 29, 65-77. doi:10.1016/j.learninstruc.2013.09.003

Ramus, F. (2023). Cognitive traits are more appropriate for genetic analysis than social outcomes. Behavioral and Brain Sciences, 46, e224

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

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2022). Comparing brain asymmetries independently of brain size. NeuroImage, 254, 119118. doi:10.1016/j.neuroimage.2022.119118

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

Mari, A. & Retoré, C. (2016). Conditions d’assertion de "chaque" et de "tout" et règles de déduction du quantificateur universel. Travaux de Linguistique , 72, 89-106. doi:10.3917/tl.072.0089

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

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

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

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

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

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

Ramus, F., Nespor, M. & Mehler, J. (1999). Correlates of linguistic rhythm in the speech signal. Cognition, 73(3), 265-292. doi:10.1016/S0010-0277(99)00058-X

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

Atkinson-Clement, C. , Maël, L., Patsalides, L. , De Liege, A. , Klein, Y. , Roze, E. , Deniau, E. , Andreas, H., Palminteri, S. & Yulia, W. (2022). Decision-making under risk and ambiguity in adults with Tourette syndrome. Psychological Medicine, 1-11. doi:10.1017/S0033291722002318

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

Justo, D., Dutant, J., Hardy-Vallée, B., Nicolas, D. & Sylvand, B. (2003). Delegation, subdivision, and modularity: How rich is Conceptual Structure? Behavioral and Brain Sciences, 26(6), 683-684. doi:10.1017/S0140525X03390156

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

Corblin, F. & Nicolas, D. (2016). Déterminants et Inférences. Travaux de Linguistique, 72(1), 7-10. doi:10.3917/tl.072.0007

Ramus, F. (2003). Developmental dyslexia: specific phonological deficit or general sensorimotor dysfunction? Current opinion in neurobiology, 13(2), 212-8.

Ramus, F. & Ahissar, M. (2012). Developmental dyslexia: the difficulties of interpreting poor performance, and the importance of normal performance. Cognitive neuropsychology, 29(1-2), 104-22. doi:10.1080/02643294.2012.677420

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

Peyre, H., Bernard, J., Hoertel, N., Forhan, A., Charles, M., De Agostini, M., Heude, B. & Ramus, F. (2016). Differential effects of factors influencing cognitive development at the age of 5-to-6 years. Cognitive Development, 40, 152-162. doi:10.1016/j.cogdev.2016.10.001

Doust, C., Fontanillas, P., Eising, E. , D Gordon, S., Wang, Z., Alagöz, G., Molz, B., Research Team, 2., Ramus, F., St Pourcain, B., Francks, C., E Marioni, R., Zhao, J., Paracchini, S., B Talcott, J., P Monaco, A., F Stein, J., R Gruen, J., K Olson, R., G Willcutt, E., C Defries, J., F Pennington, B., D Smith, S., J Wright, M., G Martin, N., Auton, A., C Bates, T., E Fisher, S. & Luciano, M. (2022). Discovery of 42 genome-wide significant loci associated with dyslexia. Nature genetics, 54(11), 1621-1629. doi:10.1038/s41588-022-01192-y

Marshall, C., Ramus, F. & Van Der Lely, H. (2010). Do children with dyslexia and/or specific language impairment compensate for place assimilation? Insight into phonological grammar and representations. Cognitive Neuropsychology, 27(7), 563-586. doi:10.1080/02643294.2011.588693

Peyre, H., Charkaluk, M., Forhan, A., Heude, B. & Ramus, F. (2017). Do developmental milestones at 4, 8, 12 and 24 months predict IQ at 5–6 years old? Results of the EDEN mother–child cohort. European Journal of Paediatric Neurology, 21(2), 272-279. doi:10.1016/j.ejpn.2016.11.001

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

Ramus, F. (2001). Dyslexia: Talk of two theories. Nature, 412(6845), 393-395. doi:10.1038/35086683