Publications

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

Guez, A., Peyre, H., Williams, C., Labouret, G. & Ramus, F. (2021). The epidemiology of cognitive development. Cognition, 213, 104690. doi:10.1016/j.cognition.2021.104690

Guez, A., Peyre, H. & Ramus, F. (2020). Sex differences in academic achievement are modulated by evaluation type. Learning and Individual Differences , 83–84, 101935. doi:10.1016/j.lindif.2020.101935

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

Guez, A., Panaïotis, T. , Peyre, H. & Ramus, F. (2018). Predictors of the IQ-achievement gap in France: A longitudinal analysis. Intelligence, 69, 104-116. doi:10.1016/j.intell.2018.05.008

Gu, Z., Smith, K. , Loukatou, G., Completo Guerreiro, I., Dudek, S. , Gutkin, B., Jensen, P. & Yakel, J. (2020). Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice . Cell Reports, 31(10), 107740. doi:10.1016/j.celrep.2020.107740

Gruber, A., Dayan, P., Gutkin, B. & Solla, S. (2006). Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of Computational Neuroscience, 20(2), 153-166. doi:10.1007/s10827-005-5705-x

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)

Graupner, M. & Gutkin, B. (2009). Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms. Acta Pharmacologica Sinica, 30(6), 681-693. doi:10.1038/aps.2009.87

Giraud, A. & Ramus, F. (2013). Neurogenetics and auditory processing in developmental dyslexia. Current opinion in neurobiology, 23(1), 37-42. doi:10.1016/j.conb.2012.09.003

Gialluisi, A., Andlauer, T., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K., Czamara, D., Pourcain, B. , Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Chaix, Y., Iannuzzi, S., Démonet, J., Morris, A., Hulslander, J., Willcutt, E., Defries, J., Olson, R., Smith, S., Pennington, B., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P., Brandeis, D., Bonte, M., Stein, J., Talcott, J., Fauchereau, F., Wilcke, A., Kirsten, H., Müller, B., Francks, C., Bourgeron, T., Monaco, A., Ramus, F., Landerl, K., Kere, J., Scerri, T., Paracchini, S., Fisher, S., Schumacher, J., Nöthen, M., Müller-Myhsok, B. & Schulte-Körne, G. (2021). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry, 26 (7), 3004-3017. doi:10.1038/s41380-020-00898-x

Gialluisi, A., Andlauer, T., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K., Czamara, D., St Pourcain, B., Brandler, W., Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Morris, A., Hulslander, J., Willcutt, E., Defries, J., Olson, R., Smith, S., Pennington, B., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P., Brandeis, D., Bonte, M., Stein, J., Talcott, J., Fauchereau, F., Wilcke, A., Francks, C., Bourgeron, T., Monaco, A., Ramus, F., Landerl, K., Kere, J., Scerri, T., Paracchini, S., Fisher, S., Schumacher, J., Nöthen, M., Müller-Myhsok, B. & Schulte-Körne, G. (2019). Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia. Translational psychiatry, 9(1), 77. doi:10.1038/s41398-019-0402-0

Galaburda, A., Loturco, J., Ramus, F., Fitch, R. & Rosen, G. (2006). From genes to behavior in developmental dyslexia. Nature neuroscience, 9(10), 1213-7. doi:10.1038/nn1772

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

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

Forgeot D'Arc, B., Delorme, R., Zalla, T., Lefebvre, A., Amsellem, F., Moukawane, S., Letellier, L., Leboyer, M., Mouren, M. & Ramus, F. (2017). Gaze direction detection in autism spectrum disorder. Autism : the international journal of research and practice, 21(1), 100-107. doi:10.1177/1362361316630880

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

Feng, X., Altarelli, I., Monzalvo, K., Ding, G., Ramus, F., Shu, H., Dehaene, S., Meng, X. & Dehaene-Lambertz, G. (2020). A universal reading network and its modulation by writing system and reading ability in French and Chinese children. eLife, 9, e54591. doi:10.7554/eLife.54591

Dumont, G. & Gutkin, B. (2019). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLOS Computational Biology . doi:10.1371/journal.pcbi.1007019

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Dumont, G. & Gutkin, B. (2018). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. arXiv , 1812.03455

Dumont, G., Ermentrout, G. & Gutkin, B. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E, 96, 042311. doi:10.1103/PhysRevE.96.042311

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

Dominey, P. & Ramus, F. (2000). Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant. Language and Cognitive Processes, 15(1), 87-127

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

Dipoppa, M., Szwed, M. & Gutkin, B. (2016). Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Advances in cognitive psychology, 12(4), 209-232. doi:10.5709/acp-0199-x

Di Volo, M., Morozova, E., Lapish, C., Kuznetsov, A. & Gutkin, B. (2018). Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release. European Journal of Neuroscience, Special issue article. doi:10.1111/ejn.14147