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Neuroscience

D-Index
69
Citations
22595
World Ranking
2588
National Ranking
1223

Overview

Nicolas Brunel is affiliated with Duke University in the United States. Their research primarily focuses on areas bridging neuroscience and computer science, with notable contributions to neuroscience, cognitive neuroscience, and artificial intelligence.

The scientist has published extensively on topics such as neural dynamics and brain function, advanced memory and neural computing, neural networks and applications, neuroscience and neuropharmacology research, photoreceptor and optogenetics research, neuroscience and neural engineering, and stochastic dynamics and bifurcation.

Brunel's recent papers include:

  • Inhibition stabilization is a widespread property of cortical networks (2020), published in eLife
  • Synaptic plasticity rules with physiological calcium levels (2020), published in Proceedings of the National Academy of Sciences
  • Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning (2020), published in Proceedings of the National Academy of Sciences
  • Multiple forms of working memory emerge from synapse-astrocyte interactions in a neuron-glia network model (2022), published in Proceedings of the National Academy of Sciences
  • Response nonlinearities in networks of spiking neurons (2020), published in PLoS Computational Biology

The frequent co-authors collaborating with Nicolas Brunel include:

  • Alessandro Sanzeni
  • Mark H. Histed
  • Johnatan Aljadeff
  • Maxwell Gillett
  • Ludovica Bachschmid-Romano

Brunel publishes regularly in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • eLife
  • Proceedings of the National Academy of Sciences
  • PLoS Computational Biology

Best Publications

  • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.

    Nicolas Brunel

  • Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model

    Albert Compte;Nicolas Brunel;Nicolas Brunel;Patricia S. Goldman-Rakic;Xiao Jing Wang

  • Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.

    D J Amit;N Brunel

  • Fast global oscillations in networks of integrate-and-fire neurons with low firing rates

    Nicolas Brunel;Vincent Hakim

  • What Determines the Frequency of Fast Network Oscillations With Irregular Neural Discharges? I. Synaptic Dynamics and Excitation-Inhibition Balance

    Nicolas Brunel;Xiao Jing Wang

  • Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition

    Nicolas Brunel;Xiao-Jing Wang

  • How spike generation mechanisms determine the neuronal response to fluctuating inputs

    Nicolas Fourcaud-Trocmé;David Hansel;Carl van Vreeswijk;Nicolas Brunel

  • Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition

    Unknown

  • Sensory neural codes using multiplexed temporal scales

    Stefano Panzeri;Nicolas Brunel;Nicolas Brunel;Nikos K. Logothetis;Nikos K. Logothetis;Christoph Kayser

  • Mutual information, Fisher information, and population coding

    Nicolas Brunel;Jean-Pierre Nadal

  • Dynamics of the firing probability of noisy integrate-and-fire neurons

    Nicolas Fourcaud;Nicolas Brunel

  • Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location

    Michael Graupner;Nicolas Brunel

  • Effects of Synaptic Noise and Filtering on the Frequency Response of Spiking Neurons

    Nicolas Brunel;Frances S. Chance;Nicolas Fourcaud;L. F. Abbott

  • From subthreshold to firing-rate resonance.

    Magnus J. E. Richardson;Magnus J. E. Richardson;Nicolas Brunel;Vincent Hakim

  • Dynamics of a recurrent network of spiking neurons before and following learning

    Daniel J Amit;Daniel J Amit;Nicolas Brunel

  • Optimal information storage and the distribution of synaptic weights: Perceptron versus Purkinje cell

    Nicolas Brunel;Vincent Hakim;Philippe Isope;Jean-Pierre Nadal

  • Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks.

    Alex Roxin;Nicolas Brunel;David Hansel

  • Lapicque's 1907 paper: from frogs to integrate-and-fire

    Nicolas Brunel;Mark C. W. van Rossum

  • Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons

    Alberto Mazzoni;Stefano Panzeri;Nikos K. Logothetis;Nicolas Brunel;Nicolas Brunel

  • Astrocytes: Orchestrating synaptic plasticity?

    M. De Pittà;M. De Pittà;N. Brunel;A. Volterra

  • Contributions of Intrinsic Membrane Dynamics to Fast Network Oscillations With Irregular Neuronal Discharges

    Caroline Geisler;Nicolas Brunel;Xiao Jing Wang

Frequent Co-Authors

Claudia Clopath
Claudia Clopath Imperial College London
Stefano Panzeri
Stefano Panzeri University Medical Center Hamburg-Eppendorf
Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Stéphane Dieudonné
Stéphane Dieudonné École Normale Supérieure
Xiao-Jing Wang
Xiao-Jing Wang New York University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Chris I. De Zeeuw
Chris I. De Zeeuw Erasmus University Rotterdam
Clément Léna
Clément Léna École Normale Supérieure
Henry Markram
Henry Markram École Polytechnique Fédérale de Lausanne

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