Publications

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 (Woodbury, N.Y.), 32(10), 101101. doi:10.1063/5.0117845

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

Doust, C., Fontanillas, P., Eising, E. , D Gordon, S., Wang, Z., Alagöz, G., Molz, B., Research Team, 2., Ramus, F., St Pourcain, B., Francks, C., E Marioni, R., Zhao, J., Paracchini, S., B Talcott, J., P Monaco, A., F Stein, J., R Gruen, J., K Olson, R., G Willcutt, E., C Defries, J., F Pennington, B., D Smith, S., J Wright, M., G Martin, N., Auton, A., C Bates, T., E Fisher, S. & Luciano, M. (2022). Discovery of 42 genome-wide significant loci associated with dyslexia. Nature genetics, 54(11), 1621-1629. doi:10.1038/s41588-022-01192-y

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

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

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

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

M Price, K., G Wigg, K., Eising, E. , Feng, Y. , Blokland, K., Wilkinson, M., N Kerr, E., L Guger, S., Trait Working Group Of The Genlang Consortium, Q., Ramus, F., E Fisher, S., W Lovett, M., J Strug, L. & L Barr, C. (2022). Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities. Translational psychiatry, 12(495), 1-9. doi:10.1038/s41398-022-02250-z

Palminteri, S. & Maël, L. (2022). The computational roots of positivity and confirmation biases in reinforcement-learning. Trends in Cognitive Sciences, 26(7), 607-621. doi:10.1016/j.tics.2022.04.005

Vandendriessche, H., Demmou, A. , Bavard, S., Yadak, J. , Lemogne, C. , Mauras, T. & Palminteri, S. (2022). Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias? Psychological Medicine, ., 1-11. doi:10.1017/S0033291722001593

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

Zhao, J., Song, Z., Zhao, Y., Thiebaut De Schotten, M., Altarelli, I. & Ramus, F. (2022). White matter connectivity in uncinate fasciculus accounts for visual attention span in developmental dyslexia. Neuropsychologia, 177, 108414. doi:10.1016/j.neuropsychologia.2022.108414

Azzalini, D., Buot, A., Palminteri, S. & Tallon-Baudry, C. (2021). Responses to Heartbeats in Ventromedial Prefrontal Cortex Contribute to Subjective Preference-Based Decisions. Journal of Neuroscience, 41(23), 5102-5114. doi:10.1523/JNEUROSCI.1932-20.2021

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

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

Cayco Gajic, A. & Zylberberg, A. (2021). Good decisions require more than information. Nature Neuroscience, 2', 903-904. doi:10.1038/s41593-021-00883-9

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

Di Folco , C. , Guez, A., Peyre, H. & Ramus, F. (2021). Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria. Scientific Studies of Reading, NA. doi:10.1080/10888438.2021.1998067

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

Dogonasheva, O., Gutkin, B. & Zakharov, D. (2021). Multistability of coherent states in ring networks of type II neurons with asymmetrical nonlocal inhibitory connectivity. Journal of Computational Neuroscience. doi:10.1016/j.chaos.2021.111541

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Phil. Trans. R. Soc. B, 376, 20190665. doi:10.1098/rstb.2019.0665

Garcia, B., Cerrotti, F. & Palminteri, S. (2021). The description-experience gap: a challenge for the neuroeconomics of decision-making under uncertainty. Philosophical transactions of the royal society B, 376(1819). doi:10.1098/rstb.2019.0665

Ghambaryan, A., Gutkin, B., Klucharev, V. & Koechlin, E. (2021). Additively Combining Utilities and Beliefs: Research Gaps and Algorithmic Developments. Frontiers in Neuroscience, . doi:10.3389/fnins.2021.704728

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

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

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

Liu, S. , Wei, W. , Chen, Y. , Peyre, H. & Zhao, J. (2021). Visual–Spatial Ability Predicts Academic Achievement Through Arithmetic and Reading Abilities. Front. Psychol. doi:10.3389/fpsyg.2020.591308

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

Liu , T., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2021). Maladaptive compensation of right fusiform gyrus in developmental dyslexia: A hub-based white matter network analysis. Cortex, 145, 57‑66. doi:10.1016/j.cortex.2021.07.016

Lizarazu, M., Scotto Di Covella, L., van Wassenhove, V. , Rivière, D., Mizzi, R. , Lehongre, K., Hertz-Pannier, L. & Ramus, F. (2021). Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex, 137, 160-178. doi:10.1016/j.cortex.2020.12.024