Wulfram Gerstner
Active 1990–2026
- 206
- Papers
- 28,880
- Citations
- 77
- h-index
- 156
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Neuroscience47.3%
- Engineering29.2%
- Computer Science13.9%
- Physics and Astronomy2.8%
- Biochemistry, Genetics and Molecular Biology2.5%
- Medicine1.3%
- Other3%
Topics
- Neural dynamics and brain function21.6%
- Advanced Memory and Neural Computing14.5%
- Neuroscience and Neural Engineering6.4%
- Neural Networks and Applications4.3%
- stochastic dynamics and bifurcation4.2%
- Neuroscience and Neuropharmacology Research3.9%
- Other45.1%
Coauthors
- Johanni Brea25
- J. Leo van Hemmen19
- Richard Naud12
- Alireza Modirshanechi10
- Guillaume Bellec10
- Jean-Pascal Pfister9
- Carl C.H. Petersen8
- Denis Sheynikhovich8
- Renaud Jolivet8
- Ricardo Chavarriaga8
- Thomas Strösslin8
- Friedemann Zenke7
- Angelo Arleo6
- Berfin Simsek6
- Claudia Clopath6
- Henning Sprekeler6
- Magnus J. E. Richardson6
- Richard Kempter6
- Skander Mensi6
- Werner M. Kistler6
- Aditya Gilra5
- Flavio Martinelli5
- Guillaume Hennequin5
- Raphael Ritz5
All papers
- Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity
Authors: Romain Brette, Wulfram Gerstner - Journal of Neurophysiology 2005 cited by 1,340
- Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
Authors: Tim P. Vogels, Henning Sprekeler, Friedemann Zenke, Claudia Clopath, Wulfram Gerstner - Science 2011 cited by 890
- Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
Authors: Wulfram Gerstner, Werner M. Kistler, Richard Naud, Liam Paninski - Cambridge University Press eBooks 2014 cited by 1,482
- Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Authors: Nicolas Frémaux, Wulfram Gerstner - Frontiers in Neural Circuits 2016 cited by 424
- Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
Authors: Wulfram Gerstner, Marco Lehmann, Vasiliki Liakoni, Dane Corneil, Johanni Brea - Frontiers in Neural Circuits 2018 cited by 286
- Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
Authors: Jean-Pascal Pfister, Wulfram Gerstner - Journal of Neuroscience 2006 cited by 666
- Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
Authors: Friedemann Zenke, Everton J. Agnes, Wulfram Gerstner - Nature Communications 2015 cited by 414
- A neuronal learning rule for sub-millisecond temporal coding
Authors: Wulfram Gerstner, Richard Kempter, J. Leo van Hemmen, Hermann Wagner - Nature 1996 cited by 1,157
- Mathematical formulations of Hebbian learning
Authors: Wulfram Gerstner, Werner M. Kistler - Biological Cybernetics, Biol. Cybern. 2002 cited by 420
- Spike-Timing-Dependent Plasticity: A Comprehensive Overview
Authors: Henry Markram, Wulfram Gerstner, P. Jesper Sjöström - Frontiers in Synaptic Neuroscience 2012 cited by 380
- Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons
Authors: Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner - PLoS Computational Biology, PLoS Comput. Biol. 2013 cited by 216
- Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements
Authors: Guillaume Hennequin, Tim P. Vogels, Wulfram Gerstner - Neuron 2014 cited by 384
- Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape
Authors: Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner - arXiv (Cornell University), CoRR 2019 cited by 59
- Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Authors: Claudia Clopath, Lars Büsing, Eleni Vasilaki, Wulfram Gerstner - Nature Neuroscience 2010 cited by 636
- Spiking Neuron Models: Single Neurons, Populations, Plasticity
Authors: Wulfram Gerstner, Werner M. Kistler - Cambridge University Press eBooks 2002 cited by 3,014
- Hebbian learning and spiking neurons
Authors: Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen - Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 1999 cited by 700
- Time structure of the activity in neural network models
Authors: Wulfram Gerstner - Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 1995 cited by 540
- Firing patterns in the adaptive exponential integrate-and-fire model
Authors: Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner - Biological Cybernetics, Biol. Cybern. 2008 cited by 337
- Noninvasive brain-actuated control of a mobile robot by human EEG
Authors: José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2004 cited by 739
- Hebbian plasticity requires compensatory processes on multiple timescales
Authors: Friedemann Zenke, Wulfram Gerstner - Philosophical Transactions of the Royal Society B Biological Sciences 2017 cited by 227
- Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response
Authors: Vahid Esmaeili, Keita Tamura, Samuel P. Muscinelli, Alireza Modirshanechi, Marta Boscaglia, Ashley B. Lee, Anastasiia Oryshchuk, Georgios Foustoukos, Yanqi Liu, Sylvain Crochet, Wulfram Gerstner, Carl C.H. Petersen - Neuron 2021 cited by 116
- The temporal paradox of Hebbian learning and homeostatic plasticity
Authors: Friedemann Zenke, Wulfram Gerstner, Surya Ganguli - Current Opinion in Neurobiology 2017 cited by 218
- Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network
Authors: Aditya Gilra, Wulfram Gerstner - eLife 2017 cited by 89
- Temporal whitening by power-law adaptation in neocortical neurons
Authors: Christian Pozzorini, Richard Naud, Skander Mensi, Wulfram Gerstner - Nature Neuroscience 2013 cited by 209
