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Neuroscience

D-Index
39
Citations
6509
World Ranking
8305
National Ranking
382

Overview

Boris Gutkin is affiliated with the École Normale Supérieure in France. Their research spans multiple disciplines within neuroscience, with a particular focus on neural dynamics and brain function. Their work often intersects with areas such as stochastic dynamics and bifurcation, nonlinear dynamics and pattern formation, receptor mechanisms and signaling, photoreceptor and optogenetics research, neuroscience and neuropharmacology, and advanced memory and neural computing.

Gutkin has contributed extensively to the field of neuroscience, publishing 84 works predominantly in cognitive neuroscience and cellular and molecular neuroscience, with 54 publications in the former and 29 in the latter. Their expertise also extends to statistical and nonlinear physics, molecular biology, and computer networks and communications.

Their recent published papers include:

  • Efficient and robust coding in heterogeneous recurrent networks, 2021, PLoS Computational Biology
  • Modelling Stock Markets by Multi-agent Reinforcement Learning, 2020, Computational Economics
  • Hippocampal Interneuronal α7 nAChRs Modulate Theta Oscillations in Freely Moving Mice, 2020, Cell Reports
  • A universal description of stochastic oscillators, 2023, Proceedings of the National Academy of Sciences
  • Force tuning explains changes in phasic dopamine signaling during stimulus-reward learning, 2023, bioRxiv (Cold Spring Harbor Laboratory)

Their publication record shows frequent contributions to venues such as bioRxiv (Cold Spring Harbor Laboratory) and arXiv (Cornell University), with 14 publications each, as well as multiple papers in PLoS Computational Biology, Computational Economics, and eNeuro.

Gutkin collaborates regularly with a number of co-authors, including:

  • Denis Zakharov (15 joint publications)
  • Olesia Dogonasheva (11 joint publications)
  • Johann Lussange (9 joint publications)
  • Alberto Pérez-Cervera (7 joint publications)
  • Ivan Lazarevich (5 joint publications)

Best Publications

  • Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions

    Alexandre Hyafil;Alexandre Hyafil;Anne-Lise Giraud;Lorenzo Fontolan;Boris Gutkin;Boris Gutkin

  • MULTIPLE BUMPS IN A NEURONAL MODEL OF WORKING MEMORY

    Carlo R. Laing;William C. Troy;Boris Gutkin;G. Bard Ermentrout

  • The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators

    Bard Ermentrout;Matthew Pascal;Boris Gutkin

  • Can one hear the shape of a graph

    Boris Gutkin;Uzy Smilansky

  • Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics

    Boris S. Gutkin;G. Bard Ermentrout

  • Speech encoding by coupled cortical theta and gamma oscillations

    Alexandre Hyafil;Lorenzo Fontolan;Claire Kabdebon;Boris Gutkin

  • Phase-Response Curves Give the Responses of Neurons to Transient Inputs

    Boris S. Gutkin;G. Bard Ermentrout;Alex D. Reyes

  • Dopamine modulation in the basal ganglia locks the gate to working memory.

    Aaron J. Gruber;Peter Dayan;Boris S. Gutkin;Sara A. Solla

  • Homeostatic reinforcement learning for integrating reward collection and physiological stability

    Mehdi Keramati;Boris Gutkin;Boris Gutkin

  • Nicotine reverses hypofrontality in animal models of addiction and schizophrenia

    Fani Koukouli;Marie Rooy;Dimitrios Tziotis;Kurt A. Sailor

  • Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity

    Boris Gutkin;C. R. Laing;C. L. Colby;C. C. Chow

  • Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement

    S. Tolu;S. Tolu;R. Eddine;F. Marti;V. David

  • Contribution of sublinear and supralinear dendritic integration to neuronal computations.

    Alexandra Tran-Van-Minh;Romain D. Cazé;Romain D. Cazé;Therése Abrahamsson;Therése Abrahamsson;Laurence Cathala

  • Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons.

    Klaus M. Stiefel;Boris S. Gutkin;Terrence J. Sejnowski;Terrence J. Sejnowski

  • Flexible frequency control of cortical oscillations enables computations required for working memory.

    Mario Dipoppa;Boris S. Gutkin

  • The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons.

    Klaus M. Stiefel;Boris S. Gutkin;Terrence J. Sejnowski

  • A neurocomputational hypothesis for nicotine addiction

    Boris S. Gutkin;Stanislas Dehaene;Jean-Pierre Changeux

  • Passive dendrites enable single neurons to compute linearly non-separable functions.

    Romain Daniel Cazé;Mark D. Humphries;Mark D. Humphries;Boris S. Gutkin

  • Inhibition of rhythmic neural spiking by noise: the occurrence of a minimum in activity with increasing noise.

    Boris S. Gutkin;Jürgen Jost;Henry C. Tuckwell

  • Spike generating dynamics and the conditions for spike-time precision in cortical neurons.

    Boris Gutkin;G. Bard Ermentrout;Michael Rudolph

  • Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking.

    Lyle E Muller;Lyle E Muller;Romain Brette;Romain Brette;Boris Gutkin

Frequent Co-Authors

Sophie Denève
Sophie Denève École Normale Supérieure
Uwe Maskos
Uwe Maskos Institut Pasteur
Serge H. Ahmed
Serge H. Ahmed University of Bordeaux
Jean-Pierre Changeux
Jean-Pierre Changeux Institut Pasteur
Alessandro Treves
Alessandro Treves International School for Advanced Studies
Anne-Lise Giraud
Anne-Lise Giraud University of Geneva
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
William W. Lytton
William W. Lytton SUNY Downstate Medical Center
Simone Kühn
Simone Kühn Max Planck Institute for Human Development

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