Publications

Grèzes, J. & Dezecache, G. (2014). Bases cérébrales et cognitives de la communication émotionnelle. In M. Botbol (Eds.), L'empathie au carrefour des sciences et de la cliniqueJohn Libbey Eurotext

Maldonado, M., Chemla, E. & Spector, B. (2019). Revealing abstract semantic mechanisms through priming: The distributive/collective contrast. Cognition, 182, 171-176. doi:10.1016/j.cognition.2018.09.009

de Carvalho, A., Crimon, C., Barrault, A. , Trueswell, J. & Christophe, A. (2021). “Look! It is not a bamoule!” 18‐ and 24‐month‐olds can use negative sentences to constrain their interpretation of novel word meanings. Developmental Science, 24(1), e13085. doi:10.1111/desc.13085

Kolberg, L. , de Carvalho, A., Babineau, M., Havron, N., Fiévet, A., Abaurre, B. & Christophe, A. (2021). "The tiger is hitting! the duck too!" 3-year-olds can use prosodic information to constrain their interpretation of ellipsis. Cognition, 104626. doi:10.1016/j.cognition.2021.104626

Ngon, C., Martin, A., Dupoux, E., Cabrol, D., Dutat, M. & Peperkamp, S. (2013). (Non)words, (non)words, (non)words: evidence for a protolexicon during the first year of life. Developmental science, 16(1), 24-34. doi:10.1111/j.1467-7687.2012.01189.x

Babineau, M., Shi, R. & Christophe, A. (2020). 14‐month‐olds exploit verbs’ syntactic contexts to build expectations about novel words. Infancy. doi:10.1111/infa.12354

Havron, N., Babineau, M. & Christophe, A. (2021). 18-month-olds fail to use recent experience to infer the syntactic category of novel words. Developmental Science, 24 (2), e1330. doi:10.1111/desc.13030

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Skvortsova , V., Palminteri, S., Buot, A., Karachi, C., Welter, M., Grabli, D. & Pessiglione, M. (2020). A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning. Current Biology, 31(5). doi:10.1016/j.cub.2020.11.042

Scheer, V. , Blanco, C. , Olfson, M. , Lemogne, C. , Airagnes, G. , Peyre, H., Limosin, F. & Nicolas, H. (2020). A comprehensive model of predictors of suicide attempt in individuals with panic disorder: Results from a national 3-year prospective study. General Hospital Psychiatry, 67, 127-135. doi:10.1016/j.genhosppsych.2020.09.006

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

White, S., Frith, U., Milne, E., Rosen, S., Swettenham, J. & Ramus, F. (2006). A double dissociation between sensorimotor impairments and reading disability: A comparison of autistic and dyslexic children. Cognitive neuropsychology, 23(5), 748-61. doi:10.1080/02643290500438607

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

Altarelli, I., Monzalvo, K., Iannuzzi, S., Fluss, J., Billard, C., Ramus, F. & Dehaene-Lambertz, G. (2013). A functionally guided approach to the morphometry of occipitotemporal regions in developmental dyslexia: evidence for differential effects in boys and girls. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33(27), 11296-301. doi:10.1523/JNEUROSCI.5854-12.2013

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

Carbajal, J., Peperkamp, S. & Tsuji, S. (2021). A meta-analysis of infants’ word-form recognition. Infancy, 26, 369-387. doi:10.1111/infa.12391

Latimier, A., Peyre, H. & Ramus, F. (2020). A Meta-Analytic Review of the Benefit of Spacing out Retrieval Practice Episodes on Retention. Educational Psychology Review, 33(3), 959-987. doi:10.1007/s10648-020-09572-8

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

Kouider, S., Stahlhut, C., Gelskov, S., Barbosa, L., Dutat, M., de Gardelle, V., Christophe, A., Dehaene, S. & Dehaene-Lambertz, G. (2013). A neural marker of perceptual consciousness in infants. Science (New York, N.Y.), 340(6130), 376-80. doi:10.1126/science.1232509

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Ramus, F. (2013). A neurological model of dyslexia and other domain-specific developmental disorders with an associated sensorimotor syndrome. (pp. 75-102). doi:10.4324/9780203774915

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

Fort, M., Brusini, P., Carbajal, J., Sun, Y. & Peperkamp, S. (2017). A novel form of perceptual attunement: Context-dependent perception of a native contrast in 14-month-old infants. Developmental cognitive neuroscience, 26, 45-51. doi:10.1016/j.dcn.2017.04.006

Ramus, F., Peperkamp, S., Christophe, A., Jacquemot, C., Kouider, S. & Dupoux, E. (2010). A Psycholinguistic Perspective on the Acquisition of Phonology. In C. Fougeron (Eds.), Laboratory Phonology (Vol. 10 ).De Gruyter Mouton

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Dupoux, E., Peperkamp, S. & Sebastián-Gallés, N. (2001). A robust method to study stress "deafness" Journal of the Acoustical Society of America, 110(3), 1606-1618

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691