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 

Current Projects

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

Talks

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

Publications

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).

Wu1, 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., Pagès, 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., Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks, 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).

Oster, A. and Gutkin, B.S., A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting., J Phyisiol (Paris), in press, (2011).

Gutkin, B.S. and Ahmed, S.H., Computational Neuroscience of Drug Addiction, in: , Springer Series in Computational Neuroscience, Springer Verlag, 10 DOI: 10.1007/978-1-4614-0751-5, (2011).

Graupner, M. and Gutkin, B.S., Modelling Local Circuit Mechanisms for Nicotine Control of Dopamine Activity, in: Computational Neuroscience of Drug Addiction, eds. Gutkin, B.S. and Ahmed, S.H., Computational Neuroscience Series, Springer Verlag, 10, 111-144 (2011).

Jedlicka, P., Deller, T., Gutkin, B.S., and Backus, K.H., Activity-Dependent Intracellular Chloride Accumulation and Diffusion Controls GABAA Receptor-Mediated Synaptic Transmission, Hippocampus, (2010).

Remme, M., Lengyel, M., and Gutkin, B.S., Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells, Neuron, 66, 429-437 (2010).

Buchin, A., Rieubland, S., Roth, A., Gutkin, B., and Hausser, M., Model of bistability and inverse stochastic resonance of Purkinje cell, Ladislav TAUC conference, p. 14 (2010).

Stiefel, K.M., Gutkin, B.S., and Sejnowski, T.E., The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons, J Comput Neurosci, 29.2, 289-301 (2009).

Graupner, M. and Gutkin, B., Modeling nicotinic neuromodulation from global functional and network levels to nAChR based mechanisms, Acta Pharmacol Sin, 30(6), 681–6 (2009).

Ahmed, S.H., Graupner, M., and Gutkin, B., Computational Approaches to the Neurobiology of Drug Addiction, Pharmacopsychiatry, 42(Suppl. 1), S144-S152 (2009).

Gutkin, B.S., Tuckwell, H., and Jost, J., The Phenomenon of Inverse Stochastic Resonance, Naturwissenschaft, DOI 10.1007/s00114-009-0570-5, (2009).

Remme, M., Lengyel, M., and Gutkin, B.S., The role of ongoing dendritic oscillations in single-neuron dynamics, PLOS Comput. Biol., 5(9), e1000493 (2009).

Tuckwell, H., Jost, J., and Gutkin, B.S., Inhibition and modulation of rhythmic neuronal spiking by noise, Physical Review E, 80, 031907 (2009).

Gutkin, B.S., Tuckwell, H., and Jost, J., Random perturbations of spiking activity in a pair of coupled neurons, Theory in the Biosciences, (in press), (2008).

Gutkin, B.S., Tuckwell, H., and Jost, J., Transient termination of synaptically sustained firing by noise, Euro Physics Letters, 81, 20005 (2008).

Stiefel, K.M., Gutkin, B., and TE, T.E.S., Cholinergic modulation of dynamics underlying spike generation in cortical neurons, PLoS ONE, 3(12), e3947 (2008).

Jeong, H.Y. and Gutkin, B.S., Synchrony of neuronal oscillations controlled by GABAergic reversal potentials, Neural Computation, 19 (3), 706-729 (2007).

Ahmed, S., Bobashev, G., and Gutkin, B.S., The simulation of addiction: pharmacological and neurocomputational models of drug self-administration, Drug Alcohol Depend, 90(2-3), 304-11 (2007).

Bobashev, G., Costenbader, E., and Gutkin, B.S., Comprehensive mathematical modeling in drug addiction sciences, Drug Alcohol Depend, 89(1), 102-6 (2007).

Brumberg, J.C. and Gutkin, B.S., Cortical pyramidal cells as non-linear oscillators: Experiment and spike-generation theory, Brain Research, 1171, 122-137 (2007).

Gruber, A.J., Dayan, P., Gutkin, B.S., and Solla, S.A., Dopamine modulation in the basal ganglia locks the gate to working memory, Journal of Computational Neuroscience, 20 (2), 153-166 (2006).

Gutkin, B.S. and Ermentrout, G.B., Neuroscience: spikes too kinky in the cortex?, Nature, 440 (7087), 999-1000 (2006).

Gutkin, B.S., Dehaene, S., and Changeux, J.P., A neurocomputational hypothesis for nicotine addiction, Proc. Natl. Acad. Sci., 103 (4), 1106-1111 (2006).

Gutkin, B.S., Ermentrout, G.B., and Reyes, A.D., Phase-response curves give the responses of neurons to transient inputs., Journal of Neurophysiology, 94, 1623-1635 (2005).

Stiefel, K.M., Wespatat, V., Gutkin, B.S., Tennigkeit, F., and Singer, W., Phase dependent sign changes of GABAergic synaptic input explored in vitro and in computo, Journal of Computational Neuroscience, 19 (1), 71-85 (2005).

Gutkin, B.S., Jost, J., and Hely, T., Noise Delays Onset of Sustained Firing in a Positively Coupled Neural Circuit, Neurocomputing, 58-60, 753-760 (2004).

Gutkin, B.S., Ermentrout, G.B., and Rudolph, M., Spike generating dynamics and the conditions for spike-time precision in cortical neurons, Journal of Computational Neuroscience, 15, 91-103 (2003).

Laing, C.R., Troy, W.C., Gutkin, B.S., and Ermentrout, G.B., Multiple Bumps in a Neuronal Model of Working Memory, SIAM Journal of Applied Mathematics, 63 (1), 62-97 (2002).

Ermentrout, G.B., Pascal, M., and Gutkin, B.S., The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators, Neural Computation, 13, 1285-1310 (2001).

Gutkin, B.S., Laing, C.R., Colby, C., Chow, C.C., and Ermentrout, G.B., Turning On and Off with Excitation, J. Computational Neuroscience, 11:2, 121-134 (2001).

Gutkin, B.S. and Smith, C.E., Conditions for noise reduction and stable encoding of spatial structure by cortical neural networks, Biol. Cybern., 82(6), 469-75 (2000).

Gutkin, B.S. and Ermentrout, G.B., Dynamics of Membrane Excitability Determine Interspike Interval Variability: A Link between Spike Generation Mechanisms and Cortical Spike Train Statistics, Neural Computation, 10 (5), 1047-1065 (1998).

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© Group for Neural Theory - October 20, 2011