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Plos Computational Biology|April 18, 2013
Reinforcement learning using a continuous time actor-critic framework with spiking neuronsNicolas Frémaux, Henning Sprekeler, Wulfram GerstnerFrontiers in Computational Neuroscience|August 29, 2014
Spike-timing prediction in cortical neurons with active dendritesRichard Naud, Brice Bathellier, Wulfram GerstnerNeuron|March 7, 2026
Linking neural manifolds to circuit structure in recurrent networksLouis Pezon, Valentin Schmutz, Wulfram GerstnerNeuron|March 21, 2026
Representational similarity modulates neural and behavioral signatures of noveltySophia Becker, Alireza Modirshanechi, Wulfram GerstnerPhysical Review Letters|February 6, 2025
Emergent Rate-Based Dynamics in Duplicate-Free Populations of Spiking NeuronsValentin Schmutz, Johanni Brea, Wulfram GerstnerProceedings of the National Academy of Sciences of the United States of America|October 31, 2025
Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scalingGeorgios Iatropoulos, Wulfram Gerstner, Johanni BreaJournal of Mathematical Neuroscience|April 8, 2020
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticityValentin Schmutz, Wulfram Gerstner, Tilo SchwalgerPlos Computational Biology|April 20, 2019
Stability of working memory in continuous attractor networks under the control of short-term plasticityAlexander Seeholzer, Moritz Deger, Wulfram GerstnerThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 8, 2010
Functional requirements for reward-modulated spike-timing-dependent plasticityNicolas Frémaux, Henning Sprekeler, Wulfram GerstnerFrontiers in Computational Neuroscience|August 1, 2018
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated MemoryMarco Martinolli, Wulfram Gerstner, Aditya GilraPageof 12