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Neuroscience

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

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
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
Henry Markram
Henry Markram École Polytechnique Fédérale de Lausanne
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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