Wulfram Gerstner

École Polytechnique Fédérale de Lausanne — Switzerland

Neuroscience · Life Sciences

77h-index32.3kcitations444works3.52yr avg
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Research Topics

Neural dynamics and brain function(301), Advanced Memory and Neural Computing(147), stochastic dynamics and bifurcation(86), Neural Networks and Applications(77), Neuroscience and Neural Engineering(65)

Publications441 total

Representational similarity modulates neural and behavioral signatures of novelty: Model simulations
Infoscience (Ecole Polytechnique Fédérale de Lausanne)·2026Open Access
Representational similarity modulates neural and behavioral signatures of novelty: Model simulations
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Author response: Biologically informed cortical models predict optogenetic perturbations
2025Open Access
Biologically informed cortical models predict optogenetic perturbations
2025· 1 citedOpen Access
Actor–critic networks with analogue memristors mimicking reward-based learning
Nature Machine Intelligence·2025· 3 citedOpen Access
Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling
Proceedings of the National Academy of Sciences·2025Open Access
Actor-Critic Networks with Analogue Memristors Mimicking Reward-Based Learning
2025Open Access
Novelty as a drive of human exploration in complex stochastic environments
Proceedings of the National Academy of Sciences·2025· 1 citedOpen Access
Context selectivity with dynamic availability enables lifelong continual learning
Neural Networks·2025Open Access
Flat Channels to Infinity in Neural Loss Landscapes
arXiv (Cornell University)·2025Open Access
Biologically informed cortical models predict optogenetic perturbations
2025Open Access
Biologically informed cortical models predict optogenetic perturbations
eLife·2025Open Access
Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking Neurons
Physical Review Letters·2025· 3 citedOpen Access
Critical periods support representation learning in a model of cortical processing
2024· 2 citedOpen Access
Biologically informed cortical models predict optogenetic perturbations
2024· 2 citedOpen Access
High-performance deep spiking neural networks with 0.3 spikes per neuron
Nature Communications·2024· 39 citedOpen Access
Two-factor synaptic consolidation reconciles robust memory with pruning and homeostatic scaling
2024· 3 citedOpen Access
Representational similarity modulates neural and behavioral signatures of novelty
2024· 2 citedOpen Access
Actor-Critic Networks with Analogue Memristors Mimicking Reward-Based Learning
2024· 3 citedOpen Access
Linking Neural Manifolds to Circuit Structure in Recurrent Networks
2024· 8 citedOpen Access
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Frequent Co-authors

Werner M. Kistler(7), Richard Naud(6), J. Leo van Hemmen(6), Friedemann Zenke(5), Henning Sprekeler(4), Claudia Clopath(4), Richard Kempter(3), Nicolas Frémaux(3), Renaud Jolivet(3), Liam Paninski(2), Romain Brette(2), Tim P. Vogels(2), Jean-Pascal Pfister(2), Lars Büsing(2), Eleni Vasilaki(2), Guillaume Hennequin(2), Taro Toyoizumi(2), Carl C.H. Petersen(2), Alexander Rauch(2), Hermann Wagner(1)