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Gutkin, Boris (PhD)

Group for Neural Theory, LNC, DEC, ENS
first floor, right
29, rue d'Ulm
75005 Paris

phone +33-144322956
fax     +33-144322935
email  boris.gutkin@ens.fr

 

Current Research

Spike Generating Dynamics and Neuromodulation
Working Memory, Spikes, and Neuromodulation
Integration of synaptic input in active dendritic trees
Computational Models of Addiction

Teaching: CO6

 

Talks

Network Activity: Oscillations, Patterns, Waves        .pdf     .ppt

 

Publications

Fani Koukouli, Marie Rooy, Dimitrios Tziotis, Kurt A. Sailor, Heidi C. O’Neill, Josien Levenga, Mirko Witte, Michael Nilges, Jean-Pierre Changeux, Charles A. Hoeffer, Jerry A. Stitzel, Boris S. Gutkin, David A. DiGregorio & Uwe Maskos (2017) Nicotine reverses hypofrontality in animal models of addiction and schizophrenia. Nature Medicine (in press)

Keramati, M, Ahmed, S, Gutkin, B.S. (2017) Cocaine addiction as a homeostatic reinforcement learning disorder. Psych. Review doi: 10.1037/rev0000046. [Epub ahead of print]

Morozova EO, Zakharov D, Gutkin BS, Lapish CC, Kuznetsov A. (2016) Dopamine Neurons Change the Type of Excitability in Response to Stimuli. PLoS Comput Biol;12(12):e1005233. doi: 10.1371/journal.pcbi.1005233.

Novikov N and Gutkin B.S. (2016) Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity. Phys Rev E 94(5-1):052313

Buchin A, Chizhov A, Huberfeld G, Miles R, Gutkin BS. (2016) Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model. J Neurosci. 36(46):11619-11633

Canavier CC, Evans RC, Oster AM, Pissadaki EK, Drion G, Kuznetsov AS, Gutkin BS. (2016) Implications of cellular models of dopamine neurons for disease. J Neurophysiol. 16(6):2815-2830

Morozova E, Myroshnychenko M, Zakharov D, di Volo M, Gutkin B, Lapish C, and Kuznetsov A. (2016) Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. J. Neurophysiology 116(4):1900-1923

Buchin  A,  Rieubland  S, Häusser M, Gutkin B.S. & Roth A (2016)  Inverse stochastic resonance in cerebellar Purkinje cells. PLOS Comput. Biology.

Chalk M, Gutkin B, Denève S. (2016) Neural oscillations as a signature of efficient coding in the presence of synaptic delays, Elife. 2016 Jul 7;5. pii: e13824

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, DOI:10.3389/fncom.2016.00048

Hyafil A, Giraud AL, Fontolan L, Gutkin B. Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends Neurosci. 2015 Nov;38(11):725-40

Oster A, Faure P, Gutkin BS.Mechanisms for multiple activity modes of VTA dopamine neurons. Front Comput Neurosci. 2015 Jul 28;9:95

Hyafil A, Fontolan L, Kabdebon C, Gutkin B, Giraud AL.Speech encoding by coupled cortical theta and gamma oscillations.Elife. 2015 May 29;4:e06213.

Tran-Van-Minh A, Cazé RD, Abrahamsson T, Cathala L, Gutkin BS, DiGregorio DA.Contribution of sublinear and supralinear dendritic integration to neuronal computations.Front Cell Neurosci. 2015 Mar 24;9:67.

Maex R, Grinevich VP, Grinevich V, Budygin E, Bencherif M, Gutkin B.Understanding the role α7 nicotinic receptors play in dopamine efflux in nucleus accumbens. ACS Chem Neurosci. 2014 Oct 15;5(10):1032-40

McDonnell MD, Iannella N, To MS, Tuckwell HC, Jost J, Gutkin BS, Ward LM. A review of methods for identifying stochastic resonance in simulations of single neuron models. Network. 2015;26(2):35-71.

Keramati M, Gutkin B.Homeostatic reinforcement learning for integrating reward collection and physiological stability. Elife. 2014 Dec 2;3.

 

Boris Gutkin and Fleur Zeldenrust (2014), Spike Frequency Adaptation Scholarpedia, 9(2):30643.

Krupa, M., S Gielen and BS Gutkin. (2014) Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci (in press)

Gutkin, B (2014) Theta-neurons. Encyclopedia of Comptutational Neuroscience, Springer (in press).

Caze, R.D., Humphries, M., and Gutkin, B.S., Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions, PLOS Computational Biology, 9(2): e1002867, (2013).
    
Keramati, M. and Gutkin, B.S., Imbalanced decision hierarchy in addicts emerging from drug-hijacked dopamine spiraling circuit, PLOS One, 8:4, 1-8 (2013).  

Dipoppa, M. and Gutkin, B.S., Flexible frequency control of cortical oscillations enables computations required for working memory., PNAS, in press, (2013). 

Graupner, M., Maex, R., and Gutkin, B.S., Endogenous cholinergic inputs and local circuit mechanisms govern the phasic mesolimbic dopamine response to nicotine, PLoS Computational Biology, in press, (2013).

Fontolan, L., Krupa, M.P., Hyafil, A., and Gutkin, B., Analytical insights on theta-gamma coupled neural oscillators, The Journal of Mathematical Neuroscience, in press, (2013).  

Wu, J., Gaol, M., Shen, J., Shi, W., Oster, A.M., and Gutkin, B.S., Cortical control of VTA function and influence on nicotine reward, Biochemical Pharmacology, in press (2013).

Dipoppa, M. and Gutkin, B.S., Correlations in background activity control persistent state stability and allow execution of working memory tasks., Frontiers in Computational Neuroscience, 7:00139, (2013).  

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Baudonnat, S.P.M., Besson, M., Reperant, C., Zemdegs, J., Pag s, C., Caboche, J., Gutkin, B., Gardier, A.M., Changeux, J., Faure, P., and Maskos, U., Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement., Molecular Psychiatry, in press, (2012).
   
DiPoppa, M., Krupa, M., Torcini, A., and Gutkin, B., Splay States in Finite Pulse-Coupled Networks of Excitable Neurons, SIAM Journal of Appllied Dynamical Systems, 11, 864 894 (2012).

Zhang, D., Gao, M., Xu, D., Shi, W., Gutkin, B., Steffensen, S., Lukas, R., and Wu, J., Impact of prefrontal cortex in nicotine-induced excitation of VTA dopamine neurons in anesthetized rats, Journal of Neuroscience, in press, (2012).

Caze, R., Humphries, M., and Gutkin, B.S., Spiking and saturating dendrites differentially expand single neuron computation capacity, Advances in Neural Information Processing 2012, in press, (2012).  

Muller, L., Brette, R., and Gutkin, B.S., Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking., Frontiers in Neuroscience, in press, (2011).

Keramati, M. and Gutkin, B.S., A Reinforcement Learning Theory for Homeostatic Regulation, NIPS, (2011). 

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