World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
50
Citations
15681
World Ranking
5640
National Ranking
2499

Kenneth D. Miller 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 Kenneth D. Miller 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: 112 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Kenneth D. Miller 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 Kenneth D. Miller 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: 50 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Kenneth D. Miller is affiliated with Columbia University in the United States. Their research primarily focuses on Neuroscience, with a significant body of work in Cognitive Neuroscience and Cellular and Molecular Neuroscience. Additional research interests include Artificial Intelligence, Biophysics, and Statistical and Nonlinear Physics.

The scientist has contributed extensively to the understanding of neural dynamics and brain function, visual perception and processing mechanisms, photoreceptor and optogenetics research, neuroscience and neuropharmacology research, neuroscience and neural engineering, functional brain connectivity studies, and neurobiology and insect physiology research.

Notable recent papers include:

  • A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex, 2020, Neuron
  • A human-specific modifier of cortical connectivity and circuit function, 2021, Nature
  • A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Interrogating theoretical models of neural computation with emergent property inference, 2021, eLife
  • Common rules underlying optogenetic and behavioral modulation of responses in multi-cell-type V1 circuits, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in Miller's publications include:

  • Agostina Palmigiano
  • Mario Dipoppa
  • Andreas Keller
  • Morgane Roth
  • Massimo Scanziani

Miller has published multiple papers in key venues, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • Nature
  • Nature Neuroscience
  • eLife

Research topics addressed by Miller reflect an integration of experimental and theoretical approaches to neural circuits and brain function, with a concentration on visual cortex studies and the modulation of neural responses through optogenetics.

Best Publications

  • Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

    Sen Song;Kenneth D. Miller;L. F. Abbott

  • A deep learning framework for neuroscience

    Blake A Richards;Timothy P Lillicrap;Philippe Beaudoin;Yoshua Bengio;Yoshua Bengio

  • Ocular dominance column development: analysis and simulation

    Kenneth D. Miller;Joseph B. Keller;Michael P. Stryker

  • Neural Mechanisms of Orientation Selectivity in the Visual Cortex

    David Ferster;Kenneth D. Miller

  • The role of constraints in Hebbian learning

    Kenneth D. Miller;David J. C. MacKay

  • Inhibitory stabilization of the cortical network underlies visual surround suppression

    Hirofumi Ozeki;Ian M. Finn;Evan S. Schaffer;Kenneth D. Miller

  • Contrast-Invariant Orientation Tuning in Cat Visual Cortex: Thalamocortical Input Tuning and Correlation-Based Intracortical Connectivity

    Todd W. Troyer;Anton E. Krukowski;Nicholas J. Priebe;Kenneth D. Miller

  • A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs

    KD Miller

  • Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns

    Brendan K. Murphy;Kenneth D. Miller

  • Adaptive filtering enhances information transmission in visual cortex

    Tatyana O. Sharpee;Hiroki Sugihara;Andrei V. Kurgansky;Sergei P. Rebrik

  • Synaptic economics: competition and cooperation in synaptic plasticity.

    Kenneth D. Miller

  • Parallel processing by cortical inhibition enables context-dependent behavior

    Kishore V Kuchibhotla;Jonathan V Gill;Jonathan V Gill;Grace W Lindsay;Eleni S Papadoyannis;Eleni S Papadoyannis

  • The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex.

    Daniel B. Rubin;Stephen D. Van Hooser;Kenneth D. Miller

  • Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell

    Todd W. Troyer;Kenneth D. Miller

  • Neural noise can explain expansive, power-law nonlinearities in neural response functions.

    Kenneth D. Miller;Todd W. Troyer

  • Visual responses in adult cat visual cortex depend on N-methyl-D-aspartate receptors

    K D Miller;B Chapman;M P Stryker

  • Acoustic variability and distinguishability among mouse ultrasound vocalizations

    Robert C. Liu;Kenneth D. Miller;Michael M. Merzenich;Christoph E. Schreiner

  • Processing in layer 4 of the neocortical circuit: new insights from visual and somatosensory cortex.

    Kenneth D Miller;David J Pinto;Daniel J Simons

  • The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability

    Guillaume Hennequin;Yashar Ahmadian;Daniel B. Rubin;Máté Lengyel

  • A Theory of the Transition to Critical Period Plasticity: Inhibition Selectively Suppresses Spontaneous Activity

    Taro Toyoizumi;Taro Toyoizumi;Taro Toyoizumi;Hiroyuki Miyamoto;Yoko Yazaki-Sugiyama;Nafiseh Atapour

  • One-Dimensional Dynamics of Attention and Decision Making in LIP

    Surya Ganguli;James W. Bisley;Jamie D. Roitman;Michael N. Shadlen

Frequent Co-Authors

Michael P. Stryker
Michael P. Stryker University of California, San Francisco
David Ferster
David Ferster Northwestern University
Hillel Adesnik
Hillel Adesnik University of California, Berkeley
Surya Ganguli
Surya Ganguli Stanford University
Joseph B. Keller
Joseph B. Keller Stanford University
Takao K. Hensch
Takao K. Hensch Harvard University
Christopher C. Pack
Christopher C. Pack McGill University
Nicholas J. Priebe
Nicholas J. Priebe The University of Texas at Austin
Massimo Scanziani
Massimo Scanziani University of California, San Francisco
Robert C. Froemke
Robert C. Froemke New York University

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