Publications

Carteaux, G., Maquart, M., Bedet, A., Contou, D., Brugières, P., Fourati, S., Cleret de Langavant, L., De Broucker, T., Brun-Buisson, C., Leparc-Goffart, I. & Mekontso Dessap, A. (2016). Zika Virus Associated with Meningoencephalitis. The New England journal of medicine, 374(16), 1595-6. doi:10.1056/NEJMc1602964

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

Engelen, T., Buot, A., Grèzes, J. & Tallon-Baudry, C. (2023). Whose emotion is it? Perspective matters to understand brain-body interactions in emotions. NeuroImage, 268, 119867. doi:10.1016/j.neuroimage.2023.119867

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772

Chevallier, C., Noveck, I., Happé, F. & Wilson, D. (2011). What's in a voice? Prosody as a test case for the Theory of Mind account of autism. Neuropsychologia, 49(3), 507-17. doi:10.1016/j.neuropsychologia.2010.11.042

Jacquemot, C. & Scott, S. (2006). What is the relationship between phonological short-term memory and speech processing? Trends in cognitive sciences, 10(11), 480-6. doi:10.1016/j.tics.2006.09.002

Bachoud-Levi, A. (2022). What did we learn from neural grafts in Huntington disease? , 178(5), 441-449. doi:10.1016/j.neurol.2022.03.004

Ladenbauer, J. & Obermayer, K. (2019). Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. PLOS Computational Biology, 15(4), e1006974. doi:10.1371/journal.pcbi.1006974

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

Balsdon, T. & Clifford, C. (2018). Visual processing: conscious until proven otherwise. , 5(1). doi:10.1098/rsos.171783

Parish-Morris, J., Chevallier, C., Tonge, N., Letzen, J., Pandey, J. & Schultz, R. (2013). Visual attention to dynamic faces and objects is linked to face processing skills: a combined study of children with autism and controls. Frontiers in psychology, 4, 185. doi:10.3389/fpsyg.2013.00185

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

Fenelon, G., Parant, J. & Cleret de Langavant, L. (2021). Victor Parant (1848–1924) and the first report of psychosis in the course of Parkinson's disease with dementia. Revue Neurologique. doi:10.1016/j.neurol.2021.03.004

Safra, L., Lettinga, N., Jacquet, P. & Chevallier, C. (2022). Variability in repeated economic games: comparing trust game decisions to other social trust measures. R. Soc. open sci., 9(210213). doi:10.1098/rsos.210213

García-Lorenzo, D., Lavisse, S., Leroy, C., Wimberley, C., Bodini, B., Remy, P., Veronese, M., Stankoff, B. & Bottaender , M. (2018). Validation of an automatic reference region extraction for the quantification of [18F]DPA-714 in dynamic brain PET studies. J Cerebr Blood Flow Metab , 38(2), 333-346. doi:10.1177/0271678X17692599

Cleret de Langavant, L., Bayen , E., Bachoud-Levi, A. & Yaffe , K. (2019). Unsupervised machine-learning for tracking high likelihood of dementia in 9 population-based surveys: a novel method to determine global dementia prevalence. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 15(7), 901. doi:10.2196/10493

Cleret de Langavant, L., Bayen , E. & Yaffe , K. (2018). Unsupervised machine learning to identify high likelihood of dementia in population-based surveys. J Med Internet Res, 20(7), e10493. doi:10.2196/10493

Leissing-Desprez, C., Thomas, E., Segaux, L., Broussier, A., Oubaya, N., Marie-Nelly, N., Laurent, M., Cleret de Langavant, L., Fromentin, I., David, J. & Bastuji-Garin, S. (2020). Understated Cognitive Impairment Assessed with the Clock-Drawing Test in Community-Dwelling Individuals Aged ≥50 Years. Journal of the American Medical Directors Association, 21(11), 1658-1664. doi:10.1016/j.jamda.2020.03.016

Bavard, S., Rustichini, A. & Palminteri, S. (2021). Two sides of the same coin: Beneficial and detrimental consequences of range adaptation in human reinforcement learning. Science Advances, 7(14). doi:10.1126/sciadv.abe0340

Pichon, S., De Gelder, B. & Grèzes, J. (2009). Two different faces of threat. Comparing the neural systems for recognizing fear and anger in dynamic body expressions. NeuroImage, 47(4), 1873-83. doi:10.1016/j.neuroimage.2009.03.084

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

Sidarus, N., Palminteri, S. & Chambon, V. (2018). Trading off the cost of conflict against expected rewards. Plos Computational Biology, 42809. doi:10.1371/journal.pcbi.1007326

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Carré, A., Chevallier, C., Robel, L., Barry, C., Maria, A., Pouga, L., Philippe, A., Pinabel, F. & Berthoz, S. (2015). Tracking social motivation systems deficits: the affective neuroscience view of autism. Journal of autism and developmental disorders, 45(10), 3351-63. doi:10.1007/s10803-015-2498-2

Safra, L., Chevallier, C., Grèzes, J. & Baumard, N. (2020). Tracking historical changes in trustworthiness using machine learning analyses of facial cues in painting. Nature Communications, 11, 4728. doi:10.1038/s41467-020-18566-7

Stein, H., Barbosa, J. & Compte, A. (2021). Towards biologically constrained attractor models of schizophrenia. Current Opinion in Neurobiology, 70, 171-181. doi:10.1016/j.conb.2021.10.013

Jones, B. , DeBruine, L. , .., .., Chevallier, C. & (Et Al), . (2021). To which world regions does the valence–dominance model of social perception apply? Nat Hum Behav, 5, 159-169. doi:10.6084/m9.figshare.7611443.v1

Collins, T. & Jacquet, P. (2018). TMS over posterior parietal cortex disrupts trans-saccadic visual stability. Brain stimulation, 11(2), 390-399. doi:10.1016/j.brs.2017.11.019

Pichon, S., De Gelder, B. & Grèzes, J. (2012). Threat prompts defensive brain responses independently of attentional control. Cerebral cortex (New York, N.Y. : 1991), 22(2), 274-85. doi:10.1093/cercor/bhr060

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).