Publications

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

Oster, A., Faure, P. & Gutkin, B. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience, 9, 95. doi:10.3389/fncom.2015.00095

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

Sun, Y., Giavazzi, M., Adda-Decker, M., Barbosa, L., Kouider, S., Bachoud-Levi, A., Jacquemot, C. & Peperkamp, S. (2015). Complex linguistic rules modulate early auditory brain responses. Brain and language, 149, 55-65. doi:10.1016/j.bandl.2015.06.009

Kouider, S., Long, B., Le Stanc, L., Charron, S., Fiévet, A., Barbosa, L. & Gelskov, S. (2015). Neural dynamics of prediction and surprise in infants. Nature communications, 6, 8537. doi:10.1038/ncomms9537

Cleret de Langavant, L., Sudraud, S., Verny, C., Krystkowiak, P., Simonin, C., Damier, P., Démonet, J., Supiot, F., Rialland, A., Schmitz, D., Maison, P., Youssov, K. & Bachoud-Levi, A. (2015). Longitudinal study of informed consent in innovative therapy research: experience and provisional recommendations from a multicenter trial of intracerebral grafting. PloS one, 10(5), e0128209. doi:10.1371/journal.pone.0128209

Schramm, C., Katsahian, S., Youssov, K., Démonet, J., Krystkowiak, P., Supiot, F., Verny, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2015). How to Capitalize on the Retest Effect in Future Trials on Huntington’s Disease. PLoS ONE. doi:10.1371/journal.pone.0145842

Schramm, C., Vial, C., Bachoud-Levi, A. & Katsahian, S. (2015). Clustering of longitudinal data by using an extended baseline: A new method for treatment efficacy clustering in longitudinal data. Statistical methods in medical research, 27(1), 97-113. doi:10.1177/0962280215621591

Chalk, M., Gutkin, B. & Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife, . doi:10.7554/eLife.13824

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

Buchin, A., Rieubland, S., Häusser, M., Gutkin, B. & Roth, A. (2016). Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS computational biology, 12(8), e1005000. doi:10.1371/journal.pcbi.1005000

Canavier, C., Evans, R., Oster, A., Pissadaki, E., Drion, G., Kuznetsov, A. & Gutkin, B. (2016). Implications of cellular models of dopamine neurons for disease. Journal of neurophysiology, 116(6), 2815-2830. doi:10.1152/jn.00530.2016

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

Novikov, N. & Gutkin, B. (2016). Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity. Physical review. E, 94(5-1), 052313. doi:10.1103/PhysRevE.94.052313

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Buchin, A., Chizhov, A., Huberfeld, G., Miles, R. & Gutkin, B. (2016). Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. The Journal of Neuroscience, 36(46), 11619--11633. doi:10.1523/JNEUROSCI.4228-15.2016

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

Cleret de Langavant, L., Jacquemot, C., Cruveiller, V., Dupoux, E. & Bachoud-Levi, A. (2016). Pointing to others: How the target gender influences pointing performance. Cognitive neuropsychology, 33(5-6), 343-51. doi:10.1080/02643294.2016.1209175

Soulas, T., Cleret de Langavant, L., Monod, V. & Fenelon, G. (2016). The prevalence and characteristics of hallucinations, delusions and minor phenomena in a non-demented population sample aged 60 years and over. . International journal of geriatric psychiatry, 31(12), 1322-1328. doi:10.1002/gps.4437

Van Der Gucht, A., Cleret de Langavant, L., Bélissant, O., Rabu, C., Cottereau, A., Evangelista, E., Chalaye, J., Bonnot-Lours, S., Fenelon, G. & Itti, E. (2016). Brain (18)F-FDG, (18)F-Florbetaben PET/CT, (123)I-FP-CIT SPECT and Cardiac (123)I-MIBG Imaging for Diagnosis of a "Cerebral Type" of Lewy Body Disease. Nuclear medicine and molecular imaging, 50(3), 258-60. doi:10.1007/s13139-016-0394-0

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

Van Der Gucht, A., Aoun-Sebaiti, M., Kauv, P., Guedj, E., Aouizerate, J., Verger, A., Gherardi, R., Bachoud-Levi, A., Authier, F. & Itti, E. (2016). FDG-PET/CT Brain Findings in a Patient With Macrophagic Myofasciitis. Nuclear medicine and molecular imaging, 50(1), 80-4. doi:10.1007/s13139-015-0371-z

Désaméricq, G., Youssov, K., Charles, P., Saleh, N., Olivier, A., Sherer-Gagou, C. & Verny, C. (2016). Guidelines for clinical pharmacological practices in Huntington's disease. Rev Neurol (Paris), 172(8-9), 423-432. doi:10.1016/j.neurol.2016.07.012

De Diego-Balaguer, R., Schramm, C., Rebeix, I., Dupoux, E., Durr, A., Brice, A., Charles, P., Cleret de Langavant, L., Youssov, K., Verny, C., Damotte, V., Azulay, J., Goizet, C., Simonin, C., Tranchant, C., Maison, P., Rialland, A., Schmitz, D., Jacquemot, C., Fontaine, B. & Bachoud-Levi, A. (2016 ). COMT Val158Met} Polymorphism Modulates Huntington's Disease Progression. Plos One, 11(9), e0161106. doi:10.1371/journal.pone.0161106

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582

Jardri, R. & Denève, S. (2017). [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine sciences : M/S, 33(11), 933-935. doi:10.1051/medsci/20173311006

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016