Gerstner, Wulfram

37 publications

NeurIPS 2025 Flat Channels to Infinity in Neural Loss Landscapes Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea

ICML 2024 Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea

NeurIPS 2023 Should Under-Parameterized Student Networks Copy or Average Teacher Weights? Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea

NeurIPS 2023 Trial Matching: Capturing Variability with Data-Constrained Spiking Neural Networks Christos Sourmpis, Carl Petersen, Wulfram Gerstner, Guillaume Bellec

NeurIPS 2022 Kernel Memory Networks: A Unifying Framework for Memory Modeling Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner

NeurIPS 2022 Mesoscopic Modeling of Hidden Spiking Neurons Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner

NeurIPS 2021 Fitting Summary Statistics of Neural Data with a Differentiable Spiking Network Simulator Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner

ICML 2021 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clement Hongler, Wulfram Gerstner, Johanni Brea

NeurIPS 2021 Local Plasticity Rules Can Learn Deep Representations Using Self-Supervised Contrastive Predictions Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner

NeurIPSW 2019 Working Memory Facilitates Reward-Modulated Hebbian Learning in Recurrent Neural Networks Roman Pogodin, Dane Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner

ICML 2018 Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane Corneil, Wulfram Gerstner, Johanni Brea

ICML 2018 Non-Linear Motor Control by Local Learning in Spiking Neural Networks Aditya Gilra, Wulfram Gerstner

NeurIPS 2015 Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments Dane S Corneil, Wulfram Gerstner

NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models Skander Mensi, Richard Naud, Wulfram Gerstner

NeurIPS 2011 Variational Learning for Recurrent Spiking Networks Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner

NeurIPS 2010 Rescaling, Thinning or Complementing? on Goodness-of-Fit Procedures for Point Process Models and Generalized Linear Models Felipe Gerhard, Wulfram Gerstner

NeurIPS 2009 Code-Specific Policy Gradient Rules for Spiking Neurons Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner

NeurIPS 2008 Stress, Noradrenaline, and Realistic Prediction of Mouse Behaviour Using Reinforcement Learning Carmen Sandi, Wulfram Gerstner, Gediminas Lukšys

NeurIPS 2007 An Online Hebbian Learning Rule That Performs Independent Component Analysis Claudia Clopath, André Longtin, Wulfram Gerstner

NeurIPS 2006 Effects of Stress and Genotype on Meta-Parameter Dynamics in Reinforcement Learning Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner

NeurIPS 2005 Beyond Pair-Based STDP: A Phenomenological Rule for Spike Triplet and Frequency Effects Jean-pascal Pfister, Wulfram Gerstner

NeurIPS 2005 Integrate-and-Fire Models with Adaptation Are Good Enough Renaud Jolivet, Alexander Rauch, Hans-rudolf Lüscher, Wulfram Gerstner

NeurIPS 2004 Spike-Timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model Taro Toyoizumi, Jean-pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner

IJCAI 2003 Non-Invasive Brain-Actuated Control of a Mobile Robot José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner

NeCo 2002 Stable Propagation of Activity Pulses in Populations of Spiking Neurons Werner M. Kistler, Wulfram Gerstner

NeCo 2001 Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen

NeCo 2000 Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates Hans E. Plesser, Wulfram Gerstner

NeurIPS 2000 Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner

NeCo 2000 Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking Wulfram Gerstner

NeCo 1998 Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner

NeurIPS 1998 Spike-Based Compared to Rate-Based Hebbian Learning Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen

NeCo 1997 Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen

NeCo 1996 What Matters in Neuronal Locking? Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan

NeCo 1995 Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen

NeurIPS 1995 Temporal Coding in the Sub-Millisecond Range: Model of Barn Owl Auditory Pathway Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner

NeurIPS 1993 How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? Wulfram Gerstner, J. Leo van Hemmen

NeurIPS 1990 Associative Memory in a Network of `Biological' Neurons Wulfram Gerstner