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Maurice J. Chacron

Maurice J. Chacron

McGill University
Canada

D-Index & Metrics

Neuroscience

D-Index
44
Citations
6160
World Ranking
7246
National Ranking
430

Maurice J. Chacron 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 Maurice J. Chacron 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: 156 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Maurice J. Chacron 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 Maurice J. Chacron 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Maurice J. Chacron is affiliated with McGill University in Canada and has contributed extensively to the field of Neuroscience. Their work primarily focuses on neural dynamics and brain function, with several subfields and related topics explored throughout their career.

The main fields of study associated with their research include:

  • Neuroscience

Within Neuroscience, their subfields of study cover:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Nature and Landscape Conservation
  • Electrical and Electronic Engineering
  • Neurology

The prominent topics of Maurice J. Chacron's research encompass:

  • Neural dynamics and brain function
  • Fish biology, ecology, and behavior
  • Neurobiology and Insect Physiology Research
  • Advanced Memory and Neural Computing
  • Vestibular and auditory disorders
  • Visual perception and processing mechanisms
  • Stochastic dynamics and bifurcation

Maurice J. Chacron has published in various scientific venues, with the most frequent being:

  • Scientific Reports
  • iScience
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neuroscience
  • The Journal of Physiology

Some recent publications include:

  • Neural Synchrony Gives Rise to Amplitude- and Duration-Invariant Encoding Consistent With Perception of Natural Communication Stimuli (2020), Frontiers in Neuroscience
  • Neural variability determines coding strategies for natural self-motion in macaque monkeys (2020), eLife
  • Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons (2021), Journal of Neuroscience
  • The neural basis for violations of Weber's law in self-motion perception (2021), Proceedings of the National Academy of Sciences
  • Sensory adaptation mediates efficient and unambiguous encoding of natural stimuli by vestibular thalamocortical pathways (2022), Nature Communications

Frequent collaborators in Maurice J. Chacron's research include:

  • Michael G. Metzen
  • Kathleen E. Cullen
  • Mariana M. Márquez
  • Myriah Haggard
  • Amin Akhshi

Best Publications

  • Neural variability, detection thresholds, and information transmission in the vestibular system.

    Soroush G. Sadeghi;Maurice J. Chacron;Michael C. Taylor;Kathleen E. Cullen

  • Negative Interspike Interval Correlations Increase the Neuronal Capacity for Encoding Time-Dependent Stimuli

    Maurice J. Chacron;André Longtin;Leonard Maler

  • Parallel Processing of Sensory Input by Bursts and Isolated Spikes

    Anne-Marie M. Oswald;Maurice J. Chacron;Brent Doiron;Joseph Bastian

  • Non-classical receptive field mediates switch in a sensory neuron's frequency tuning

    Maurice J. Chacron;Brent Doiron;Leonard Maler;André Longtin

  • Inhibitory feedback required for network oscillatory responses to communication but not prey stimuli

    Brent Doiron;Maurice J. Chacron;Leonard Maler;André Longtin

  • Plastic and nonplastic pyramidal cells perform unique roles in a network capable of adaptive redundancy reduction.

    Joseph Bastian;Maurice J Chacron;Leonard Maler

  • Noise shaping by interval correlations increases information transfer.

    Maurice J. Chacron;Benjamin Lindner;André Longtin

  • Suprathreshold stochastic firing dynamics with memory in P-type electroreceptors.

    Maurice J. Chacron;André Longtin;Martin St-Hilaire;Len Maler

  • Receptive Field Organization Determines Pyramidal Cell Stimulus-Encoding Capability and Spatial Stimulus Selectivity

    Joseph Bastian;Maurice J. Chacron;Leonard Maler

  • Statistics of the Vestibular Input Experienced during Natural Self-Motion: Implications for Neural Processing

    Jérome Carriot;Mohsen Jamali;Maurice J. Chacron;Kathleen E. Cullen

  • Electroreceptor neuron dynamics shape information transmission

    Maurice J Chacron;Leonard Maler;Joseph Bastian

  • Temporal processing across multiple topographic maps in the electrosensory system.

    Rudiger Krahe;Joseph A. Bastian;Maurice J. Chacron

  • Nonlinear information processing in a model sensory system.

    Maurice J. Chacron

  • Firing statistics of a neuron model driven by long-range correlated noise.

    J W Middleton;M J Chacron;B Lindner;A Longtin

  • Interspike interval correlations, memory, adaptation, and refractoriness in a leaky integrate-and-fire model with threshold fatigue

    Maurice J. Chacron;Khashayar Pakdaman;André Longtin

  • Population coding by electrosensory neurons.

    Maurice J. Chacron;Joseph Bastian

  • Integrate-and-fire neurons with threshold noise: a tractable model of how interspike interval correlations affect neuronal signal transmission.

    Benjamin Lindner;Maurice J. Chacron;André Longtin

  • Effects of restraint and immobilization on electrosensory behaviors of weakly electric fish.

    Éva M. Hitschfeld;Sarah A. Stamper;Katrin Vonderschen;Eric S. Fortune

  • Efficient computation via sparse coding in electrosensory neural networks

    Maurice J Chacron;André Longtin;Leonard Maler

  • Sparse and dense coding of natural stimuli by distinct midbrain neuron subpopulations in weakly electric fish.

    Katrin Vonderschen;Maurice J. Chacron

  • Feedback and feedforward control of frequency tuning to naturalistic stimuli

    Maurice J. Chacron;Leonard Maler;Joseph Bastian

Frequent Co-Authors

Kathleen E. Cullen
Kathleen E. Cullen Johns Hopkins University
Leonard Maler
Leonard Maler University of Ottawa
Joseph Bastian
Joseph Bastian University of Oklahoma
Brent Doiron
Brent Doiron University of Pittsburgh
Catherine E. Carr
Catherine E. Carr University of Maryland, College Park
Charles W. Bourque
Charles W. Bourque McGill University Health Centre
Dominik Straumann
Dominik Straumann University of Zurich
Dora E. Angelaki
Dora E. Angelaki New York University
Gregory C. DeAngelis
Gregory C. DeAngelis University of Rochester
Elisabeth Glowatzki
Elisabeth Glowatzki Johns Hopkins University School of Medicine

External Links

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