World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

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

Nicolas Brunel publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Nicolas Brunel sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 154 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Nicolas Brunel D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Nicolas Brunel sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 69 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

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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