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Boris Gutkin
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2020 – today
- 2025
- [j41]Olesia Dogonasheva, Daniil Radushev, Boris Gutkin, Denis G. Zakharov:
Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks. Commun. Nonlinear Sci. Numer. Simul. 140: 108321 (2025) - 2024
- [i4]Hugo Laurençon, Yesoda Bhargava, Riddhi Zantye, Charbel-Raphaël Ségerie, Johann Lussange, Veeky Baths, Boris Gutkin:
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent. CoRR abs/2401.08999 (2024) - [i3]Johann Lussange, Stefano Vrizzi, Stefano Palminteri, Boris Gutkin:
Modelling crypto markets by multi-agent reinforcement learning. CoRR abs/2402.10803 (2024) - 2023
- [j40]Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor B. Kazantsev:
Spikebench: An open benchmark for spike train time-series classification. PLoS Comput. Biol. 19(1) (2023) - [i2]Olesia Dogonasheva, Daniil Radushev, Boris S. Gutkin, Denis G. Zakharov:
Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks. CoRR abs/2311.17383 (2023) - 2022
- [j39]Marius Winkler, Grégory Dumont, Eckehard Schöll, Boris S. Gutkin:
Phase response approaches to neural activity models with distributed delay. Biol. Cybern. 116(2): 191-203 (2022) - [j38]Grégory Dumont, Alberto Pérez-Cervera, Boris S. Gutkin:
A framework for macroscopic phase-resetting curves for generalised spiking neural networks. PLoS Comput. Biol. 18(8) (2022) - 2021
- [j37]Fleur Zeldenrust, Boris S. Gutkin, Sophie Denève:
Efficient and robust coding in heterogeneous recurrent networks. PLoS Comput. Biol. 17(4) (2021) - [i1]Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin:
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents. CoRR abs/2109.06580 (2021) - 2020
- [j36]AmirPasha Zamani, Nikita Novikov, Boris S. Gutkin:
Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Commun. Nonlinear Sci. Numer. Simul. 82: 105024 (2020) - [j35]Denis G. Zakharov, Martin Krupa, Boris S. Gutkin:
Modeling dopaminergic modulation of clustered gamma rhythms. Commun. Nonlinear Sci. Numer. Simul. 82: 105086 (2020) - [c5]Johann Lussange, Alexis Belianin, Sacha Bourgeois-Gironde, Boris S. Gutkin:
Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. IntelliSys (3) 2020: 241-255
2010 – 2019
- 2019
- [j34]Grégory Dumont, Boris S. Gutkin:
Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLoS Comput. Biol. 15(5) (2019) - 2018
- [j33]Denis Volk, Igor Dubinin, Alexandra Myasnikova, Boris S. Gutkin, Vadim V. Nikulin:
Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies. Frontiers Neuroinformatics 12: 72 (2018) - 2017
- [j32]Fleur Zeldenrust, Sicco de Knecht, Wytse J. Wadman, Sophie Denève, Boris S. Gutkin:
Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers Comput. Neurosci. 11: 49 (2017) - [j31]Matthew Chalk, Paul Masset, Sophie Denève, Boris S. Gutkin:
Sensory noise predicts divisive reshaping of receptive fields. PLoS Comput. Biol. 13(6) (2017) - 2016
- [j30]Denis G. Zakharov, Christopher C. Lapish, Boris S. Gutkin, Alexey Kuznetsov:
Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers Comput. Neurosci. 10: 48 (2016) - [j29]Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S. Gutkin, Arnd Roth:
Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Comput. Biol. 12(8) (2016) - [j28]Ekaterina O. Morozova, Denis G. Zakharov, Boris S. Gutkin, Christopher C. Lapish, Alexey Kuznetsov:
Dopamine Neurons Change the Type of Excitability in Response to Stimuli. PLoS Comput. Biol. 12(12) (2016) - 2015
- [j27]Andrew Oster, Boris S. Gutkin, Philippe Faure:
Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers Comput. Neurosci. 9: 95 (2015) - 2014
- [j26]Martin Krupa, Stan C. A. M. Gielen, Boris S. Gutkin:
Adaptation and shunting inhibition leads to pyramidal/interneuron gamma with sparse firing of pyramidal cells. J. Comput. Neurosci. 37(2): 357-376 (2014) - [j25]Boris S. Gutkin, Fleur Zeldenrust:
Spike frequency adaptation. Scholarpedia 9(2): 30643 (2014) - [r2]Boris S. Gutkin:
Theta-Neuron Model. Encyclopedia of Computational Neuroscience 2014 - [r1]Alexey Kuznetsov, Boris S. Gutkin:
Dopaminergic Cell Models. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j24]Mario Dipoppa, Boris S. Gutkin:
Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers Comput. Neurosci. 7: 139 (2013) - [j23]Romain Daniel Cazé, Mark D. Humphries, Boris S. Gutkin:
Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions. PLoS Comput. Biol. 9(2) (2013) - [j22]Michael Graupner, Reinoud Maex, Boris S. Gutkin:
Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Comput. Biol. 9(8) (2013) - 2012
- [j21]Mario Dipoppa, Martin Krupa, Alessandro Torcini, Boris S. Gutkin:
Splay States in Finite Pulse-Coupled Networks of Excitable Neurons. SIAM J. Appl. Dyn. Syst. 11(3): 864-894 (2012) - [c4]Romain Daniel Cazé, Mark D. Humphries, Boris S. Gutkin:
Spiking and saturating dendrites differentially expand single neuron computation capacity. NIPS 2012: 1079-1087 - 2011
- [j20]Lyle Muller, Romain Brette, Boris S. Gutkin:
Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking. Frontiers Comput. Neurosci. 5: 45 (2011) - [c3]Mehdi Keramati, Boris S. Gutkin:
A Reinforcement Learning Theory for Homeostatic Regulation. NIPS 2011: 82-90
2000 – 2009
- 2009
- [j19]Jesper Tegnér, Albert Compte, Charles Auffray, Gary An, Gunnar Cedersund, Gilles Clermont, Boris S. Gutkin, Zoltán N. Oltvai, Klaas Enno Stephan, Randy Thomas, Pablo Villoslada:
Computational disease modeling - fact or fiction? BMC Syst. Biol. 3: 56 (2009) - [j18]Klaus M. Stiefel, Boris S. Gutkin, Terrence J. Sejnowski:
The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. J. Comput. Neurosci. 26(2): 289-301 (2009) - [j17]Michiel W. H. Remme, Máté Lengyel, Boris S. Gutkin:
The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics. PLoS Comput. Biol. 5(9) (2009) - 2008
- [j16]Boris S. Gutkin, Jürgen Jost, Henry C. Tuckwell:
Random perturbations of spiking activity in a pair of coupled neurons. Theory Biosci. 127(2): 135-139 (2008) - 2007
- [j15]Ho Young Jeong, Boris S. Gutkin:
Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials. Neural Comput. 19(3): 706-729 (2007) - 2006
- [j14]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla:
Dopamine modulation in the basal ganglia locks the gate to working memory. J. Comput. Neurosci. 20(2): 153-166 (2006) - 2005
- [j13]Ho Young Jeong, Boris S. Gutkin:
Study on the role of GABAergic synapses in synchronization. Neurocomputing 65-66: 859-868 (2005) - [j12]Eugene M. Izhikevich, Boris S. Gutkin:
Guest Editorial. J. Comput. Neurosci. 18(3): 253 (2005) - [j11]Klaus M. Stiefel, Valérie Wespatat, Boris S. Gutkin, Frank Tennigkeit, Wolf Singer:
Phase Dependent Sign Changes of GABAergic Synaptic Input Explored In-Silicio and In-Vitro. J. Comput. Neurosci. 19(1): 71-85 (2005) - 2004
- [j10]Boris S. Gutkin, Tim A. Hely, Jürgen Jost:
Noise delays onset of sustained firing in a minimal model of persistent activity. Neurocomputing 58-60: 753-760 (2004) - 2003
- [j9]Boris S. Gutkin, Bard Ermentrout, Michael Rudolph:
Spike Generating Dynamics and the Conditions for Spike-Time Precision in Cortical Neurons. J. Comput. Neurosci. 15(1): 91-103 (2003) - [c2]Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla:
Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory. NIPS 2003: 1271-1278 - 2002
- [j8]Boris S. Gutkin, Carlo R. Laing, Bard Ermentrout, William C. Troy:
Multiple Bumps in a Neuronal Model of Working Memory. SIAM J. Appl. Math. 63(1): 62-97 (2002) - 2001
- [j7]Boris S. Gutkin, Carlo R. Laing, Carol L. Colby, Carson C. Chow, Bard Ermentrout:
Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity. J. Comput. Neurosci. 11(2): 121-134 (2001) - [j6]Bard Ermentrout, Matthew Pascal, Boris S. Gutkin:
The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators. Neural Comput. 13(6): 1285-1310 (2001) - 2000
- [j5]Boris S. Gutkin, Charles E. Smith:
Conditions for noise reduction and stable encoding of spatial structure by cortical neural networks. Biol. Cybern. 82(6): 469-475 (2000) - [j4]Boris S. Gutkin, Bard Ermentrout, Joseph O'Sullivan:
Layer 3 patchy recurrent excitatory connections may determine the spatial organization of sustained activity in the primate prefrontal cortex. Neurocomputing 32-33: 391-400 (2000)
1990 – 1999
- 1999
- [j3]Jim G. Dilmore, Boris S. Gutkin, Bard Ermentrout:
Effects of dopaminergic modulation of persistent sodium currents on the excitability of prefrontal cortical neurons: A computational study. Neurocomputing 26-27: 107-115 (1999) - [j2]Hermann Schobesberger, Boris S. Gutkin, John P. Horn:
A minimal model for metabotropic modulation of fast synaptic transmission and firing properties in bullfrog sympathetic B neurons. Neurocomputing 26-27: 255-262 (1999) - 1998
- [j1]Boris S. Gutkin, Bard Ermentrout:
Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics. Neural Comput. 10(5): 1047-1065 (1998) - 1996
- [c1]Boris S. Gutkin, Charles E. Smith:
Stable encoding of spatial structure by a recurrent neural network in the presence of noisy data. ICNN 1996: 1367-1371
Coauthor Index
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