Publications

Morozova, E., Myroshnychenko, M., Zakharov, D., Di Volo, M., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology, 116(4), 1900-1923. doi:10.1152/jn.00232.2016

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

Ramus, F., Nespor, M. & Mehler, J. (1999). Correlates of linguistic rhythm in the speech signal. Cognition, 73(3), 265-292. doi:10.1016/S0010-0277(99)00058-X

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

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

Brumberg, J. & Gutkin, B. (2007). Cortical pyramidal cells as non-linear oscillators: Experiment and spike-generation theory. Brain Research, 1171(1), 122-137. doi:10.1016/j.brainres.2007.07.028

Wolpert, N. & Tallon-Baudry, C. (2021). Coupling between the phase of a neural oscillation or bodily rhythm with behavior: evaluation of different statistical procedures. Neuroimage, 236(118050). doi:10.1016/j.neuroimage.2021.118050

Volk, D., Dubinin, I., Gutkin, B., Myasnikova, A. & Nikulin, V. (2018). Cross-Frequency Synchrony Analysis. Frontiers in Neuroinformatics , 12, 72. doi:10.3389/fninf.2018.00072

Sergent, C., Wyart, V., Babo-Rebelo, M., Cohen, L., Naccache, L. & Tallon-Baudry, C. (2013). Cueing attention after the stimulus is gone can retrospectively trigger conscious perception. Current Biology, 23(11), 150-155 . doi:10.1016/j.cub.2012.11.047

Remme, M., Lengyel, M. & Gutkin, B. (2010). Democracy-independence trade-off in oscillating dendrites and its implications for grid cells. Neuron, 66(3), 429-437. doi:10.1016/j.neuron.2010.04.027

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Hernán, A., Joshua, H. & Sackur, J. (2021). Deployment dynamics of hypnotic anger modulation. Consciousness and Cognition, 91, 103118. doi:10.1016/j.concog.2021.103118

Ramus, F. (2003). Developmental dyslexia: specific phonological deficit or general sensorimotor dysfunction? Current opinion in neurobiology, 13(2), 212-8.

Ramus, F. & Ahissar, M. (2012). Developmental dyslexia: the difficulties of interpreting poor performance, and the importance of normal performance. Cognitive neuropsychology, 29(1-2), 104-22. doi:10.1080/02643294.2012.677420

Peyre, H., Albaret, J., Bernard, J., Hoertel, N., Melchior, M., Forhan, A., Taine, M., Heude, B., De Agostini, M., Galera, C. & Ramus, F. (2019). Developmental trajectories of fine motor skills during the preschool period. European Child & Adolescent Psychiatry, 28(11), 1461-1474. doi:10.1007/s00787-019-01311-x

Peyre, H., Bernard, J., Hoertel, N., Forhan, A., Charles, M., De Agostini, M., Heude, B. & Ramus, F. (2016). Differential effects of factors influencing cognitive development at the age of 5-to-6 years. Cognitive Development, 40, 152-162. doi:10.1016/j.cogdev.2016.10.001

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

Morozova, E., Faure, P., Gutkin, B., Lapish, C. & Kuznetsov, A. (2020). Distinct Temporal Structure of Nicotinic ACh Receptor Activation Determines Responses of VTA Neurons to Endogenous ACh and Nicotine. eNeuro, 7(4). doi:10.1523/ENEURO.0418-19.2020

Marshall, C., Ramus, F. & Van Der Lely, H. (2010). Do children with dyslexia and/or specific language impairment compensate for place assimilation? Insight into phonological grammar and representations. Cognitive Neuropsychology, 27(7), 563-586. doi:10.1080/02643294.2011.588693

Peyre, H., Charkaluk, M., Forhan, A., Heude, B. & Ramus, F. (2017). Do developmental milestones at 4, 8, 12 and 24 months predict IQ at 5–6 years old? Results of the EDEN mother–child cohort. European Journal of Paediatric Neurology, 21(2), 272-279. doi:10.1016/j.ejpn.2016.11.001

Latimier, A. , Riegert, A. , Ly, S. , Peyre, H., Casati, R. & Ramus, F. (2019). Does pre-testing promote better retention than post-testing? npj Science of Learning, 4(15). doi:10.1038/s41539-019-0053-1

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

Morozova, E., Zakharov, D., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Dopamine Neurons Change the Type of Excitability in Response to Stimuli. PLoS computational biology, 12(12), e1005233. doi:10.1371/journal.pcbi.1005233

Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).

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

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.)

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

Ramus, F. (2001). Dyslexia: Talk of two theories. Nature, 412(6845), 393-395. doi:10.1038/35086683

Wyart, V., Dehaene, S. & Tallon-Baudry, C. (2012). Early dissociation between neural signatures of endogenous spatial attention and perceptual awareness during visual masking. Frontiers in Human Neuroscience, 6, 16. doi:10.3389/fnhum.2012.00016

Wolpert, N., Rebollo, I. & Tallon-Baudry, C. (2020). Electrogastrography for psychophysiological research: Practical considerations, analysis pipeline, and normative data in a large sample. Psychophysiology, 57(9), e 13599. doi:10.1111/psyp.13599