Stable encoding of spatial structure by a recurrent neural network in the presence of noisy data. - Boris S. Gutkin; Charles E. Smith (ICNN, 1996)

Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics. - Boris S. Gutkin; Bard Ermentrout (Neural Comput., 1998)

Effects of dopaminergic modulation of persistent sodium currents on the excitability of prefrontal cortical neurons: A computational study. - Jim G. Dilmore; Boris S. Gutkin; Bard Ermentrout (Neurocomputing, 1999)

A minimal model for metabotropic modulation of fast synaptic transmission and firing properties in bullfrog sympathetic B neurons. - Hermann Schobesberger; Boris S. Gutkin; John P. Horn (Neurocomputing, 1999)

Conditions for noise reduction and stable encoding of spatial structure by cortical neural networks. - Boris S. Gutkin; Charles E. Smith (Biol. Cybern., 2000)

Layer 3 patchy recurrent excitatory connections may determine the spatial organization of sustained activity in the primate prefrontal cortex. - Boris S. Gutkin; Bard Ermentrout; Joseph O'Sullivan (Neurocomputing, 2000)

Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity. - Boris S. Gutkin; Carlo R. Laing; Carol L. Colby; Carson C. Chow; Bard Ermentrout (J. Comput. Neurosci., 2001)

The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators. - Bard Ermentrout; Matthew Pascal; Boris S. Gutkin (Neural Comput., 2001)

Multiple Bumps in a Neuronal Model of Working Memory. - Boris S. Gutkin; Carlo R. Laing; Bard Ermentrout; William C. Troy (SIAM J. Appl. Math., 2002)

Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory. - Aaron J. Gruber; Peter Dayan; Boris S. Gutkin; Sara A. Solla (NIPS, 2003)

Spike Generating Dynamics and the Conditions for Spike-Time Precision in Cortical Neurons. - Boris S. Gutkin; Bard Ermentrout; Michael Rudolph 002 (J. Comput. Neurosci., 2003)

Noise delays onset of sustained firing in a minimal model of persistent activity. - Boris S. Gutkin; Tim A. Hely; Jürgen Jost (Neurocomputing, 2004)

Study on the role of GABAergic synapses in synchronization. - Ho Young Jeong; Boris S. Gutkin (Neurocomputing, 2005)

Guest Editorial. - Eugene M. Izhikevich; Boris S. Gutkin (J. Comput. Neurosci., 2005)

Phase Dependent Sign Changes of GABAergic Synaptic Input Explored In-Silicio and In-Vitro. - Klaus M. Stiefel; Valérie Wespatat; Boris S. Gutkin; Frank Tennigkeit; Wolf Singer (J. Comput. Neurosci., 2005)

Dopamine modulation in the basal ganglia locks the gate to working memory. - Aaron J. Gruber; Peter Dayan; Boris S. Gutkin; Sara A. Solla (J. Comput. Neurosci., 2006)

Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials. - Ho Young Jeong; Boris S. Gutkin (Neural Comput., 2007)

Random perturbations of spiking activity in a pair of coupled neurons. - Boris S. Gutkin; Jürgen Jost; Henry C. Tuckwell (Theory Biosci., 2008)

Computational disease modeling - fact or fiction? - 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 (BMC Syst. Biol., 2009)

The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. - Klaus M. Stiefel; Boris S. Gutkin; Terrence J. Sejnowski (J. Comput. Neurosci., 2009)

The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics. - Michiel W. H. Remme; Máté Lengyel; Boris S. Gutkin (PLoS Comput. Biol., 2009)

A Reinforcement Learning Theory for Homeostatic Regulation. - Mehdi Keramati; Boris S. Gutkin (NIPS, 2011)

Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking. - Lyle Muller; Romain Brette; Boris S. Gutkin (Frontiers Comput. Neurosci., 2011)

Spiking and saturating dendrites differentially expand single neuron computation capacity. - Romain Daniel Cazé; Mark D. Humphries; Boris S. Gutkin (NIPS, 2012)

Splay States in Finite Pulse-Coupled Networks of Excitable Neurons. - Mario Dipoppa; Martin Krupa; Alessandro Torcini; Boris S. Gutkin (SIAM J. Appl. Dyn. Syst., 2012)

Correlations in background activity control persistent state stability and allow execution of working memory tasks. - Mario Dipoppa; Boris S. Gutkin (Frontiers Comput. Neurosci., 2013)

Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions. - Romain Daniel Cazé; Mark D. Humphries; Boris S. Gutkin (PLoS Comput. Biol., 2013)

Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. - Michael Graupner; Reinoud Maex; Boris S. Gutkin (PLoS Comput. Biol., 2013)

Adaptation and shunting inhibition leads to pyramidal/interneuron gamma with sparse firing of pyramidal cells. - Martin Krupa; Stan C. A. M. Gielen; Boris S. Gutkin (J. Comput. Neurosci., 2014)

Spike frequency adaptation. - Boris S. Gutkin; Fleur Zeldenrust (Scholarpedia, 2014)

Theta-Neuron Model. - Boris S. Gutkin (Encyclopedia of Computational Neuroscience, 2014)

Dopaminergic Cell Models. - Alexey Kuznetsov 002; Boris S. Gutkin (Encyclopedia of Computational Neuroscience, 2014)

Mechanisms for multiple activity modes of VTA dopamine neurons. - Andrew Oster; Boris S. Gutkin; Philippe Faure (Frontiers Comput. Neurosci., 2015)

Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. - Denis G. Zakharov; Christopher C. Lapish; Boris S. Gutkin; Alexey Kuznetsov 002 (Frontiers Comput. Neurosci., 2016)

Inverse Stochastic Resonance in Cerebellar Purkinje Cells. - Anatoly Buchin; Sarah Rieubland; Michael Häusser; Boris S. Gutkin; Arnd Roth (PLoS Comput. Biol., 2016)

Dopamine Neurons Change the Type of Excitability in Response to Stimuli. - Ekaterina O. Morozova; Denis G. Zakharov; Boris S. Gutkin; Christopher C. Lapish; Alexey Kuznetsov 002 (PLoS Comput. Biol., 2016)

Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. - Fleur Zeldenrust; Sicco de Knecht; Wytse J. Wadman; Sophie Denève; Boris S. Gutkin (Frontiers Comput. Neurosci., 2017)

Sensory noise predicts divisive reshaping of receptive fields. - Matthew Chalk; Paul Masset; Sophie Denève; Boris S. Gutkin (PLoS Comput. Biol., 2017)

Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies. - Denis Volk; Igor Dubinin; Alexandra Myasnikova; Boris S. Gutkin; Vadim V. Nikulin (Frontiers Neuroinformatics, 2018)

Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. - Grégory Dumont; Boris S. Gutkin (PLoS Comput. Biol., 2019)

Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. - Johann Lussange; Alexis Belianin; Sacha Bourgeois-Gironde; Boris S. Gutkin (IntelliSys (3), 2020)

Modeling dopaminergic modulation of clustered gamma rhythms. - Denis G. Zakharov; Martin Krupa; Boris S. Gutkin (Commun. Nonlinear Sci. Numer. Simul., 2020)

Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. - AmirPasha Zamani; Nikita Novikov; Boris S. Gutkin (Commun. Nonlinear Sci. Numer. Simul., 2020)

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents. - Hugo Laurençon; Charbel-Raphaël Ségerie; Johann Lussange; Boris S. Gutkin (CoRR, 2021)

Efficient and robust coding in heterogeneous recurrent networks. - Fleur Zeldenrust; Boris S. Gutkin; Sophie Denève (PLoS Comput. Biol., 2021)

Phase response approaches to neural activity models with distributed delay. - Marius Winkler; Grégory Dumont; Eckehard Schöll; Boris S. Gutkin (Biol. Cybern., 2022)

A framework for macroscopic phase-resetting curves for generalised spiking neural networks. - Grégory Dumont; Alberto Pérez-Cervera; Boris S. Gutkin (PLoS Comput. Biol., 2022)

Spikebench: An open benchmark for spike train time-series classification. - Ivan Lazarevich; Ilya Prokin; Boris Gutkin; Victor B. Kazantsev (PLoS Comput. Biol., 2023)

Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent. - Hugo Laurençon; Yesoda Bhargava; Riddhi Zantye; Charbel-Raphaël Ségerie; Johann Lussange; Veeky Baths; Boris Gutkin (CoRR, 2024)

Modelling crypto markets by multi-agent reinforcement learning. - Johann Lussange; Stefano Vrizzi; Stefano Palminteri; Boris Gutkin (CoRR, 2024)

Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks. - Olesia Dogonasheva; Daniil Radushev; Boris Gutkin; Denis G. Zakharov (Commun. Nonlinear Sci. Numer. Simul., 2025)