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All publications by Wulfram Gerstner
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Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze\textendash like Environments
Dane S. Corneil and Wulfram Gerstner
Advances in Neural Information Processing Systems 28, 2015


From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud and Wulfram Gerstner
Advances in Neural Information Processing Systems 24, 2011


Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra and Wulfram Gerstner
Advances in Neural Information Processing Systems 24, 2011


Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard and Wulfram Gerstner
Advances in Neural Information Processing Systems 23, 2010


Code-specific policy gradient rules for spiking neurons
Henning Sprekeler, Guillaume Hennequin and Wulfram Gerstner
Advances in Neural Information Processing Systems 22, 2009


Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Carmen Sandi, Wulfram Gerstner and Gediminas Lukšys
Advances in Neural Information Processing Systems 21, 2008


An online Hebbian learning rule that performs Independent Component Analysis
Claudia Clopath, André Longtin and Wulfram Gerstner
Advances in Neural Information Processing Systems 20, 2007


Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi and Wulfram Gerstner
Advances in Neural Information Processing Systems 19, 2006


Integrate-and-Fire models with adaptation are good enough
Renaud Jolivet, Alexander Rauch, Hans-rudolf Lüscher and Wulfram Gerstner
Advances in Neural Information Processing Systems 18, 2005


Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects
Jean-pascal Pfister and Wulfram Gerstner
Advances in Neural Information Processing Systems 18, 2005


Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
Taro Toyoizumi, Jean-pascal Pfister, Kazuyuki Aihara and Wulfram Gerstner
Advances in Neural Information Processing Systems 17, 2004