Wulfram Gerstner

32.4k citations

229 papers · 19.1k indexed · 7 hit papers · h-index 64

Impact in

Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function
Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research

Papers in

Cognitive Neuroscience 190
- Neural dynamics and brain function 172
- Memory and Neural Mechanisms 21
Statistical and Nonlinear Physics 64
- stochastic dynamics and bifurcation 62

Co-authors: Werner M. Kistler J. Leo van Hemmen Richard Naud Romain Brette Richard Kempter Friedemann Zenke Liam Paninski Jean-Pascal Pfister
Journals: PLoS Computational Biology (19 papers)Neural Computation (14 papers)Biological Cybernetics (13 papers)Network Computation in Neural Systems (8 papers)BMC Neuroscience (8 papers)
Partner nations: Switzerland Germany United Kingdom

In The Last Decade

Wulfram Gerstner

217 papers receiving 18.5k citations

Hit Papers

7 papers align trajectories log scale

Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition 2014 · 409 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2014 Infoscience (Ecole Polytechnique Fédérale de Lausanne)
2014 Cambridge University Press eBooks
2005 Journal of Neurophysiology
2004 IEEE Transactions on Biomedical Engineering
2002 Cambridge University Press eBooks
2002 Spiking Neuron Models: Single Neurons, Populations, Plasticity
1996 Nature

Peers

Countries citing papers authored by Wulfram Gerstner

Since Specialization

Citations

This map shows the geographic impact of Wulfram Gerstner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wulfram Gerstner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wulfram Gerstner more than expected).

Fields of papers citing papers by Wulfram Gerstner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wulfram Gerstner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wulfram Gerstner. The network helps show where Wulfram Gerstner may publish in the future.

Co-authors

The 25 scholars most cited alongside Wulfram Gerstner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wulfram Gerstner Line = papers co-authored together Wulfram Gerstner links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Actor–critic networks with analogue memristors mimicking reward-based learning Nature Machine Intelligence ·Francesca Ucelli, Metin Taskin, Д. М. Дараган, Laura Bégon‐Lours, Valeria Bragaglia, Maria do Sameiro Barroso, Daniel Jubin, Moussa Kalli, Guèye Diawara, John M. Nelson, Cristiana Merten Teixeira, Antonio La Porta, Ute Drechsler, Antonis Olziersky, Bert Jan Offrein, Wulfram Gerstner, Mathieu Luisier, Alexandros Emboras	2025	1
2	Distributed and specific encoding of sensory, motor, and decision information in the mouse neocortex during goal-directed behavior Cell Reports ·Dai Wei, Maing-Haing Cho, سحر صالح الهلالى, Stefan Stonjek, Vahid Esmaeili, Alireza Modirshanechi, Wulfram Gerstner, Carl C.H. Petersen, Sylvain Crochet	2023	11
3	Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making PLoS Computational Biology ·Xu He, Alireza Modirshanechi, Aude Raux, Wulfram Gerstner, Michael H. Herzog	2021	23
4	One-shot learning and behavioral eligibility traces in sequential decision making eLife ·Aude Raux, Xu He, Silvia Cristiane Alfonso Viédes, Michael H. Herzog, Wulfram Gerstner, Kerstin Preuschoff	2019	12
5	Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·عبدالرضا توکلی, Wulfram Gerstner, Johanni Brea	2018	8
6	Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions Philosophical Transactions of the Royal Society B Biological Sciences ·Tara Keck, Taro Toyoizumi, Lu Chen, Brent Doiron, Daniel E. Feldman, Kevin Fox, Wulfram Gerstner, Philip G. Haydon, Mark Hübener, Hey‐Kyoung Lee, John Lisman, Tobias Rose, Frank Sengpiel, David Stellwagen, Michael P. Stryker, Gina G. Turrigiano, Mark C. W. van Rossum	2017	130
7	Non-linear motor control by local learning in spiking neural networks International Conference on Machine Learning ·Aditya Gilra, Wulfram Gerstner	2017	1
8	The temporal paradox of Hebbian learning and homeostatic plasticity Current Opinion in Neurobiology ·Friedemann Zenke, Wulfram Gerstner, Surya Ganguli	2017	116
9	Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks Nature Communications ·Friedemann Zenke, Everton J. Agnes, Wulfram Gerstner	2015	230
10	Attractor network dynamics enable preplay and rapid path planning in maze-like environments Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·عبدالرضا توکلی, Wulfram Gerstner	2015	10
11	Synaptic Consolidation: From Synapses to Behavioral Modeling Journal of Neuroscience ·Н. М. Антрапцева, Friedemann Zenke, David B. Kastner, Wulfram Gerstner	2015	28
12	Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons PLoS Computational Biology ·Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner	2013	122
13	Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks Science ·Tim P. Vogels, Henning Sprekeler, Friedemann Zenke, Claudia Clopath, Wulfram Gerstner	2011	470
14	Variational Learning for Recurrent Spiking Networks Neural Information Processing Systems ·Danilo Jimenez Rezende, Daan Wierstra, Wulfram Gerstner	2011	22
15	From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Skander Mensi, Richard Naud, Wulfram Gerstner	2011	16
16	Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning Neural Information Processing Systems ·Carmen Sandi, Wulfram Gerstner, S St C Carter	2008	2
17	Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner	2004	13
18	Non-invasive brain-actuated control of a mobile robot International Joint Conference on Artificial Intelligence ·José del R. Millán, Yehan Ma, Gregory G. Ginsberg, Wulfram Gerstner	2003	36
19	Motion detection in a Linsker network Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Juliana Varejão Casarin de Paiva, Wulfram Gerstner, J. Leo van Hemmen	1994	2
20	How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? Neural Information Processing Systems ·Wulfram Gerstner, J. Leo van Hemmen	1993	5

About Wulfram Gerstner

Wulfram Gerstner is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 229 papers that have together received 19.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (172 papers), Advanced Memory and Neural Computing (91 papers), stochastic dynamics and bifurcation (62 papers), Neuroscience and Neural Engineering (44 papers), Neuroscience and Neuropharmacology Research (33 papers), Neural Networks and Applications (25 papers), Memory and Neural Mechanisms (21 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). The work is most often cited by research in Cognitive Neuroscience (15.4k citations), Cellular and Molecular Neuroscience (8.6k citations), Statistical and Nonlinear Physics (3.5k citations), Electrical and Electronic Engineering (9.3k citations) and Artificial Intelligence (3.6k citations). Wulfram Gerstner has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Werner M. Kistler, J. Leo van Hemmen, Richard Naud, Romain Brette, Richard Kempter, Friedemann Zenke, Liam Paninski, Jean-Pascal Pfister, Claudia Clopath and Hermann Wagner. Their work appears in journals such as PLoS Computational Biology, Neural Computation, Biological Cybernetics, Network Computation in Neural Systems and BMC Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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