Publications

Roux, P., Passerieux, C. & Ramus, F. (2015). An eye-tracking investigation of intentional motion perception in patients with schizophrenia. Journal of psychiatry & neuroscience : JPN, 40(2), 118-25.

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Novikov, N. & Gutkin, B. (2018). and Gamma Oscillations in Working Memory Functions. Psychology. Journal of Higher School of Economics, 15(1), 174-182

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

Liu, C. , Tabea, S., M Davies, N. , Peyre, H., Lim, K. , Barker, E. , Llewellyn, C. , Dudbridge, F. & Pingault, J. (2021). Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs. International Journal of Epidemiology, 50(2). doi:10.1093/ije/dyaa214

Yang, S., Poncet, L. , Tafflet, M. , Lioret, S. , Peyre, H., Ramus, F., Heude, B. & Bernard, J. (2023). Association of screen use trajectories from early childhood and cognitive development in late childhood: The EDEN mother–child cohort. Computers in Human Behavior, 108042. doi:10.1016/j.chb.2023.108042

Yang, S., Saïd, M., Peyre, H., Ramus, F., Taine, M., C Law, E., Dufourg, M., Heude, B., Charles, M. & Y Bernard, J. (2023). Associations of screen use with cognitive development in early childhood: the ELFE birth cohort. Journal of child psychology and psychiatry, and allied disciplines, N/A. doi:10.1111/jcpp.13887

Forgeot D'Arc, B., Ramus, F., Lefebvre, A., Brottier, D., Zalla, T., Moukawane, S., Amsellem, F., Letellier, L., Peyre, H., Mouren, M., Leboyer, M. & Delorme, R. (2016). Atypical Social Judgment and Sensitivity to Perceptual Cues in Autism Spectrum Disorders. Journal of autism and developmental disorders, 46(5), 1574-81. doi:10.1007/s10803-014-2208-5

Ramus, F. (2005). Aux origines cognitives, neurobiologiques et génétiques de la dyslexie. ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 17, 247-253

Forgeot D'Arc, B. & Ramus, F. (2011). Belief attribution despite verbal interference. Quarterly journal of experimental psychology (2006), 64(5), 975-90. doi:10.1080/17470218.2010.524413

Claire, S., Corazzol, M. , Labouret, G., Stockart, F. , Wexler, M., King, J. , Florent, M. & Pressnitzer, D. (2021). Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications, 12, 1149. doi:10.1038/s41467-021-21393-z

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2021). Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel. In 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 211-214. doi:10.1109/DCNA53427.2021.9586968

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

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Calculation of travelling chimera speeds for dynamical systems with ring topologies. In 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 61-64. doi:10.1109/DCNA53427.2021.9586903

Ramus, F. & Peyre, H. (2021). Can the Prevalence of ADHD Really be 0.3%? Journal of Attention Disorders, 25(10), 1351‑1351. doi:1d0o.i1.o1r7g/71/01.1018770/150487205049782609286892

Lanore, F. , Cayco Gajic, A., Gurnani, H. , Coyle, D. & Angus Silver, R. (2021). Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience, 24, 1142-1150. doi:10.1038/s41593-021-00873-x

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

Rooy, M., Lazarevich, I. , Koukouli, F., Maskos, U. & Gutkin, B. (2021). Cholinergic modulation of hierarchical inhibitory control over cortical resting state dynamics: Local circuit modeling of schizophrenia-related hypofrontality. Current Research in Neurobiology, 2, 1000018. doi:10.1016/j.crneur.2021.100018

Stiefel, K., Gutkin, B. & Sejnowski, T. (2008). Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons. PLoS ONE, 3(12). doi:10.1371/journal.pone.0003947

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

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

Bobashev, G., Costenbader, E. & Gutkin, B. (2007). Comprehensive mathematical modeling in drug addiction sciences. Drug and Alcohol Dependence, 89(1), 102-106. doi:10.1016/j.drugalcdep.2006.12.029

Tegnér, J., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K., Thomas, R. & Villoslada, P. (2009). Computational disease modeling - Fact or fiction? BMC Systems Biology, 3. doi:10.1186/1752-0509-3-56

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Zamani, A. , Novikov, N. & Gutkin, B. (2020). Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 82, 105024. doi:10.1016/j.cnsns.2019.105024

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067