Publications

Yang, S., Poncet, L. , Tafflet, M. , Lioret, S. , Peyre, H., Ramus, F., Heude, B. & Bernard, J. (2024). Association of screen use trajectories from early childhood and cognitive development in late childhood: The EDEN mother–child cohort. Computers in Human Behavior, 152, 108042. doi:10.1016/j.chb.2023.108042

Lussange, J., Vrizzi, S., Palminteri, S. & Gutkin, B. (2024). Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study. PloS one, 19(4), e0301141. doi:10.1371/journal.pone.0301141

Ramus, F. (2024). La légende noire des surdoués, suite et fin . Enfance, 1, 11-20. doi:10.3917/enf2.241.0011

Couvignou, M., Peyre, H., Ramus, F. & Kolinsky, R. (2024). Do early musical impairments predict later reading difficulties? A longitudinal study of pre-readers with and without familial risk for dyslexia. Developmental science, e13519. doi:10.1111/desc.13519

Yang, S., Saïd, M., Peyre, H., Ramus, F., Taine, M., Dufourg, M., Heude, B., Charles, M. & Bernard, J. (2024). Associations of screen use with cognitive development in early childhood: the ELFE birth cohort. Journal of child psychology and psychiatry, and allied disciplines, 65(5), 680-693. doi:10.1111/jcpp.13887

Kandemir, E. , Vie, J., Sanchez-Ayte, A., Palombi, O. & Ramus, F. (2024). Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data. In Proceedings of the 14th Learning Analytics and Knowledge Conference, Kyoto, 123–133. doi:10.1145/3636555.3636858

Pellegrino, A., Stein, H. & Alex Cayco-Gajic, N. (2024). Dimensionality reduction beyond neural subspaces with slice tensor component analysis. Nature neuroscience, . doi:10.1038/s41593-024-01626-2

Williams, C., Peyre, H., Labouret, G., Fassaya, J., Guzmán García, A., Gauvrit, N. & Ramus, F. (2023). High Intelligence is Not Associated with a Greater Propensity for Mental Health Disorders. European Psychiatry, 66(1), e3. doi:10.1192/j.eurpsy.2022.2343

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

Williams, C., Peyre, H. & Ramus, F. (2023). Brain volumes, thicknesses, and surface areas as mediators of genetic factors and childhood adversity on intelligence. Cerebral cortex, 33, 5885–5895. doi:10.1093/cercor/bhac468

Duriez, A., Bergerot, C., J Cone, J., F Roitman, M. & Gutkin, B. (2023). Homeostatic Reinforcement Theory Accounts for Sodium Appetitive State- and Taste-Dependent Dopamine Responding. Nutrients, 15(4), 1015. doi:10.3390/nu15041015

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Williams, C., Labouret, G., Wolfram, T., Peyre, H. & Ramus, F. (2023). A General Cognitive Ability Factor for the UK Biobank. Behavior genetics, 53(2), 85-100. doi:10.1007/s10519-022-10127-6

Loza, E. , Amsellem, F., Zalla, T., Cartigny, A. , Leboyer, M., Delorme, R., Ramus, F. & Forgeot D'Arc, B. (2023). A mind-reading puzzle: Autistic people are more efficient at a theory-of-mind task. Research in Autism Spectrum Disorders, 101, 102105. doi:10.1016/j.rasd.2023.102105

Guez, A., Piazza, M., Pinheiro-Chagas, P. , Peyre, H., Heude, B. & Ramus, F. (2023). Preschool language and visuospatial skills respectively predict multiplication and addition/subtraction skills in middle school children. Developmental science, 26(3), e13316. doi:10.1111/desc.13316

Gurgand, L. , Lamarque, L., Havron, N., Bernard, J., Ramus, F. & Peyre, H. (2023). The influence of sibship composition on language development at 2 years of age in the ELFE birth cohort study. Developmental science, 26(4), e13356. doi:10.1111/desc.13356

Guilbert, A., Bernard, J., Peyre, H., Costet, N., Hough, I., Seyve, E., Monfort, C., Philippat, C., Slama, R., Kloog, I., Chevrier, C., Heude, B., Ramus, F. & Lepeule, J. (2023). Prenatal and childhood exposure to ambient air pollution and cognitive function in school-age children: Examining sensitive windows and sex-specific associations. Environmental research, 235, 116557. doi:10.1016/j.envres.2023.116557

Zhao, J., Zhao, Y., Song, Z., Thiebaut De Schotten, M., Altarelli, I. & Ramus, F. (2023). Adaptive compensation of arcuate fasciculus lateralization in developmental dyslexia. Cortex; a journal devoted to the study of the nervous system and behavior, 167, 1-11. doi:10.1016/j.cortex.2023.05.017

Shevchenko, V. , Labouret, G., Guez, A., Côté, S., Barbara, H., Peyre, H. & Ramus, F. (2023). Relations between intelligence index score discrepancies and psychopathology symptoms in the EDEN mother-child birth cohort. Intelligence, 98, 101753. doi:10.1016/j.intell.2023.101753

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Current opinion in neurobiology, 83, 102759. doi:10.1016/j.conb.2023.102759

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Signatures of task learning in neural representations, Current Opinion in Neurobiology,, 83, 102759. doi:10.1016/j.conb.2023.102759

Radushev, D. , Dogonasheva, O., Gutkin, B. & Zakharov, D. (2023). Chimera states in a ring of non-locally connected interneurons. In 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), Kaliningrad, Russian Federation, 229-232. doi:10.1109/DCNA59899.2023.10290318

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

Liu, Y., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2022). Neural dissociation of visual attention span and phonological deficits in developmental dyslexia: A hub-based white matter network analysis. Human Brain Mapping, 43(17). doi:10.1002/hbm.25997

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Eising, E. , Mirza-Schreiber, N. , de Zeeuw, E. , ..., .., Ramus, F. & (Et Al), . (2022). Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. PNAS, 19(35), e2202764119. doi:10.1073/pnas.2202764119

Completo Guerreiro, I., Gu, Z., Yakel, J. & Gutkin, B. (2022). Recurring Cholinergic Inputs Induce Local Hippocampal Plasticity through Feedforward Disinhibition. eNeuro. doi:10.1523/ENEURO.0389-21.2022

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2022). Multistability and evolution of chimera states in a network of type II Morris–Lecar neurons with asymmetrical nonlocal inhibitory connections. Chaos , 32, 101101. doi:10.1063/5.0117845