World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
42
Citations
8414
World Ranking
7585
National Ranking
173

Walter Senn 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 Walter Senn 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: 129 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Walter Senn 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 Walter Senn 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: 42 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Walter Senn is affiliated with the University of Bern in Switzerland and has contributed extensively to the fields of neuroscience and engineering. Their research spans key areas including cognitive neuroscience, electrical and electronic engineering, and artificial intelligence.

Their scholarly work covers a broad range of topics such as neural dynamics and brain function, advanced memory and neural computing, EEG and brain-computer interfaces, neuroscience and neuropharmacology research, neural networks and applications, sleep and wakefulness research, and functional brain connectivity studies.

Frequent collaborators with Walter Senn include Mihai A. Petrovici, Jakob Jordan, Willem A.M. Wybo, Katharina A. Wilmes, and Benjamin Ellenberger. These collaborations have resulted in numerous joint research publications.

Their work has been published in various scientific venues, with notable frequent contributions to arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), eLife, Zenodo (CERN European Organization for Nuclear Research), and Nature Machine Intelligence.

Recent papers authored or co-authored by Walter Senn include:

  • "An integrative, multiscale view on neural theories of consciousness" (2024, Neuron)
  • "Predictive olfactory learning in Drosophila" (2021, Scientific Reports)
  • "Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses" (2021, eLife)
  • "Evolving interpretable plasticity for spiking networks" (2021, eLife)
  • "The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing" (2024, Imaging Neuroscience)

Their research reflects an integration of experimental and computational approaches to brain function, with a focus on understanding neural mechanisms across multiple scales and modalities. Walter Senn's work often intersects with developments in technology and computing to advance the study of neural systems.

Best Publications

  • A deep learning framework for neuroscience

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

  • Dendritic encoding of sensory stimuli controlled by deep cortical interneurons

    Masanori Murayama;Enrique Pérez-Garci;Thomas Nevian;Tobias Bock

  • Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics

    Joseph M. Brader;Walter Senn;Stefano Fusi

  • Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons

    Matthew E. Larkum;Walter Senn;Hans-R. Lüscher

  • Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents

    Alexander Rauch;Giancarlo La Camera;Hans-Rudolf Lüscher;Walter Senn

  • Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

    Ila R. Fiete;Walter Senn;Claude Z.H. Wang;Richard H.R. Hahnloser

  • An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

    Walter Senn;Henry Markram;Misha Tsodyks

  • A Synaptic Explanation of Suppression in Visual Cortex

    Matteo Carandini;David J Heeger;Walter Senn

  • Learning by the Dendritic Prediction of Somatic Spiking

    Robert Urbanczik;Walter Senn

  • Modeling of Spontaneous Activity in Developing Spinal Cord Using Activity-Dependent Depression in an Excitatory Network

    Joël Tabak;Walter Senn;Michael J. O'Donovan;John Rinzel

  • Dendritic cortical microcircuits approximate the backpropagation algorithm

    João Sacramento;Rui Ponte Costa;Yoshua Bengio;Walter Senn

  • Repetitive TMS over the human oculomotor cortex: comparison of 1-Hz and theta burst stimulation.

    Thomas Nyffeler;Pascal Wurtz;Hans-Rudolf Lüscher;Christian W. Hess

  • Climbing Neuronal Activity as an Event-Based Cortical Representation of Time

    Jan Reutimann;Volodya Yakovlev;Stefano Fusi;Walter Senn

  • Multiple Time Scales of Temporal Response in Pyramidal and Fast Spiking Cortical Neurons

    Giancarlo La Camera;Alexander Rauch;David Thurbon;Hans-R. Lüscher

  • Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex.

    Sigrid Marie Blom;Jean Pascal Pfister;Mirko Santello;Walter Senn

  • Extending lifetime of plastic changes in the human brain.

    Thomas Nyffeler;Pascal Wurtz;Hans‐Rudolf Lüscher;Christian W. Hess

  • Matching Recall and Storage in Sequence Learning with Spiking Neural Networks

    Johanni Michael Brea;Walter Senn;Jean Pascal Pfister

  • Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

    Eleni Vasilaki;Eleni Vasilaki;Nicolas Frémaux;Robert Urbanczik;Walter Senn

  • Hyperpolarization-activated current Ih disconnects somatic and dendritic spike initiation zones in layer V pyramidal neurons.

    Thomas Berger;Walter Senn;Hans-R. Lüscher

  • Reinforcement learning in populations of spiking neurons

    Robert Urbanczik;Walter Senn

  • Minimal Models of Adapted Neuronal Response to In Vivo &#8211lLike Input Currents

    Giancarlo La Camera;Alexander Rauch;Hans-R. Lüscher;Walter Senn

Frequent Co-Authors

Stefano Fusi
Stefano Fusi Columbia University
Hans-Rudolf Lüscher
Hans-Rudolf Lüscher University of Bern
Yoshua Bengio
Yoshua Bengio University of Montreal
Matthew E. Larkum
Matthew E. Larkum Humboldt-Universität zu Berlin
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
Misha Tsodyks
Misha Tsodyks Weizmann Institute of Science
Ehud Zohary
Ehud Zohary Hebrew University of Jerusalem
René M. Müri
René M. Müri University of Bern
Kaspar E. Vogt
Kaspar E. Vogt University of Tsukuba
Michael H. Herzog
Michael H. Herzog École Polytechnique Fédérale de Lausanne

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