Wulfram Gerstner

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 61

Top Venues

CoRR

PLoS Comput. Biol.

NeurIPS

Frontiers Comput. Neurosci.

Publications

Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. Neural Networks 169 (2024)
Martin L. L. R. Barry, Wulfram Gerstner
Fast adaptation to rule switching using neuronal surprise. PLoS Comput. Biol. 20 (2) (2024)
Carlos S. N. Brito, Wulfram Gerstner
Learning what matters: Synaptic plasticity with invariance to second-order input correlations. PLoS Comput. Biol. 20 (2) (2024)
Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner
Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. CoRR (2023)
Zeng Ren, Wulfram Gerstner, Martin Rohrmeier
Music as Flow: A Formal Representation of Hierarchical Processes in Music. ISMIR (2023)
Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga
A dynamic attractor network model of memory formation, reinforcement and forgetting. PLoS Comput. Biol. 19 (12) (2023)
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Should Under-parameterized Student Networks Copy or Average Teacher Weights? CoRR (2023)
Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). CoRR (2023)
Christos Sourmpis, Carl C. H. Petersen, Wulfram Gerstner, Guillaume Bellec
Trial matching: capturing variability with data-constrained spiking neural networks. NeurIPS (2023)
Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
Are training trajectories of deep single-spike and deep ReLU network equivalent? CoRR (2023)
Martin Barry, Guillaume Bellec, Wulfram Gerstner
GateON: an unsupervised method for large scale continual learning. CoRR (2023)
Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
An exact mapping from ReLU networks to spiking neural networks. Neural Networks 168 (2023)
Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS (2023)
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Kernel Memory Networks: A Unifying Framework for Memory Modeling. NeurIPS (2022)
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Kernel Memory Networks: A Unifying Framework for Memory Modeling. CoRR (2022)
Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
An Exact Mapping From ReLU Networks to Spiking Neural Networks. CoRR (2022)
Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
Mesoscopic modeling of hidden spiking neurons. CoRR (2022)
Ana Stanojevic, Evangelos Eleftheriou, Giovanni Cherubini, Stanislaw Wozniak, Angeliki Pantazi, Wulfram Gerstner
Approximating Relu Networks by Single-Spike Computation. ICIP (2022)
Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
Mesoscopic modeling of hidden spiking neurons. NeurIPS (2022)
Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage 246 (2022)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. CoRR (2021)
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. 33 (2) (2021)
Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner
Local plasticity rules can learn deep representations using self-supervised contrastive predictions. NeurIPS (2021)
Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR (2021)
Chiara Gastaldi, Tilo Schwalger, Emanuela De Falco, Rodrigo Quian Quiroga, Wulfram Gerstner
When shared concept cells support associations: Theory of overlapping memory engrams. PLoS Comput. Biol. 17 (12) (2021)
He A. Xu, Alireza Modirshanechi, Marco P. Lehmann, Wulfram Gerstner, Michael H. Herzog
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. PLoS Comput. Biol. 17 (6) (2021)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML (2021)
Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS (2021)
Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea
On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. 16 (4) (2020)
Bernd Illing, Wulfram Gerstner, Guillaume Bellec
Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity. CoRR (2020)
Bernd Illing, Wulfram Gerstner, Johanni Brea
Biologically plausible deep learning - but how far can we go with shallow networks? CoRR (2019)
Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. CoRR (2019)
Chiara Gastaldi, Samuel P. Muscinelli, Wulfram Gerstner
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model. Frontiers Comput. Neurosci. 13 (2019)
Alexander Seeholzer, Moritz Deger, Wulfram Gerstner
Stability of working memory in continuous attractor networks under the control of short-term plasticity. PLoS Comput. Biol. 15 (4) (2019)
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
An Approximate Bayesian Approach to Surprise-Based Learning. CoRR (2019)
Bernd Illing, Wulfram Gerstner, Johanni Brea
Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks 118 (2019)
Samuel P. Muscinelli, Wulfram Gerstner, Tilo Schwalger
How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. PLoS Comput. Biol. 15 (6) (2019)
Roman Pogodin, Dane S. Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks. CoRR (2019)
Marco Martinolli, Wulfram Gerstner, Aditya Gilra
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory. Frontiers Comput. Neurosci. 12 (2018)
Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner
Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. Neural Comput. 30 (1) (2018)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML (2018)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR (2018)
Hesam Setareh, Moritz Deger, Wulfram Gerstner
Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. PLoS Comput. Biol. 14 (7) (2018)
Aditya Gilra, Wulfram Gerstner
Non-Linear Motor Control by Local Learning in Spiking Neural Networks. ICML (2018)
Florian Colombo, Johanni Brea, Wulfram Gerstner
Learning to Generate Music with BachProp. CoRR (2018)
Florian Colombo, Wulfram Gerstner
BachProp: Learning to Compose Music in Multiple Styles. CoRR (2018)
Aditya Gilra, Wulfram Gerstner
Non-linear motor control by local learning in spiking neural networks. CoRR (2017)
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. PLoS Comput. Biol. 13 (4) (2017)
Aditya Gilra, Wulfram Gerstner
Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks. CoRR (2017)
Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea
Exponentially Long Orbits in Hopfield Neural Networks. Neural Comput. 29 (2) (2017)
Hesam Setareh, Moritz Deger, Carl C. H. Petersen, Wulfram Gerstner
Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. Frontiers Comput. Neurosci. 11 (2017)
Marco Martinolli, Wulfram Gerstner, Aditya Gilra
Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory. CoRR (2017)
Florian Colombo, Alexander Seeholzer, Wulfram Gerstner
Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation. EvoMUSART (2017)
Carlos S. N. Brito, Wulfram Gerstner
Nonlinear Hebbian learning as a unifying principle in receptive field formation. CoRR (2016)
Thomas Mesnard, Wulfram Gerstner, Johanni Brea
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. CoRR (2016)
Skander Mensi, Olivier Hagens, Wulfram Gerstner, Christian Pozzorini
Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons. PLoS Comput. Biol. 12 (2) (2016)
Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. CoRR (2016)
Carlos S. N. Brito, Wulfram Gerstner
Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation. PLoS Comput. Biol. 12 (9) (2016)
Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner
Balancing New Against Old Information: The Role of Surprise. CoRR (2016)
Dane S. Corneil, Wulfram Gerstner
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments. NIPS (2015)
Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. PLoS Comput. Biol. 11 (6) (2015)
Richard Naud, Brice Bathellier, Wulfram Gerstner
Spike-timing prediction in cortical neurons with active dendrites. Frontiers Comput. Neurosci. 8 (2014)
Friedemann Zenke, Wulfram Gerstner
Limits to high-speed simulations of spiking neural networks using general-purpose computers. Frontiers Neuroinformatics 8 (2014)
Danilo Jimenez Rezende, Wulfram Gerstner
Stochastic variational learning in recurrent spiking networks. Frontiers Comput. Neurosci. 8 (2014)
Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner
Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons. PLoS Comput. Biol. 9 (4) (2013)
Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. PLoS Comput. Biol. 9 (11) (2013)
Richard Naud, Wulfram Gerstner
Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram. PLoS Comput. Biol. 8 (10) (2012)
Johannes Rüter, Nicolas Marcille, Henning Sprekeler, Wulfram Gerstner, Michael H. Herzog
Paradoxical Evidence Integration in Rapid Decision Processes. PLoS Comput. Biol. 8 (2) (2012)
Skander Mensi, Richard Naud, Wulfram Gerstner
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models. NIPS (2011)
Felipe Gerhard, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, Wulfram Gerstner
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers Comput. Neurosci. 5 (2011)
Richard Naud, Felipe Gerhard, Skander Mensi, Wulfram Gerstner
Improved Similarity Measures for Small Sets of Spike Trains. Neural Comput. 23 (12) (2011)
Danilo Jimenez Rezende, Daan Wierstra, Wulfram Gerstner
Variational Learning for Recurrent Spiking Networks. NIPS (2011)
Amir Hesam Salavati, K. Raj Kumar, Mohammad Amin Shokrollahi, Wulfram Gerstner
Neural pre-coding increases the pattern retrieval capacity of Hopfield and Bidirectional Associative Memories. ISIT (2011)
Felipe Gerhard, Wulfram Gerstner
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. NIPS (2010)
Guillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister
STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Frontiers Comput. Neurosci. 4 (2010)
Jesper Sjöström, Wulfram Gerstner
Spike-timing dependent plasticity. Scholarpedia 5 (2) (2010)
Wulfram Gerstner, Romain Brette
Adaptive exponential integrate-and-fire model. Scholarpedia 4 (6) (2009)
Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner
Code-specific policy gradient rules for spiking neurons. NIPS (2009)
Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Comput. Biol. 5 (12) (2009)
Gediminas Luksys, Carmen Sandi, Wulfram Gerstner
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning. NIPS (2008)
Wulfram Gerstner
Spike-response model. Scholarpedia 3 (12) (2008)
Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Büsing, Wulfram Gerstner
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. PLoS Comput. Biol. 4 (12) (2008)
Brice Bathellier, Alan Carleton, Wulfram Gerstner
Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks. Neural Comput. 20 (12) (2008)
Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner
Firing patterns in the adaptive exponential integrate-and-fire model. Biol. Cybern. 99 (4-5) (2008)
Renaud Jolivet, Arnd Roth, Felix Schürmann, Wulfram Gerstner, Walter Senn
Special issue on quantitative neuron modeling. Biol. Cybern. 99 (4-5) (2008)
Renaud Jolivet, Felix Schürmann, Thomas K. Berger, Richard Naud, Wulfram Gerstner, Arnd Roth
The quantitative single-neuron modeling competition. Biol. Cybern. 99 (4-5) (2008)
Abigail Morrison, Markus Diesmann, Wulfram Gerstner
Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. 98 (6) (2008)
Laurent Badel, Sandrine Lefort, Thomas K. Berger, Carl C. H. Petersen, Wulfram Gerstner, Magnus J. E. Richardson
curves. Biol. Cybern. 99 (4-5) (2008)
Michael H. Herzog, Michael Esfeld, Wulfram Gerstner
Consciousness & the small network argument. Neural Networks 20 (9) (2007)
Claudia Clopath, Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments. Neurocomputing 70 (10-12) (2007)
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. Neural Comput. 19 (3) (2007)
Claudia Clopath, André Longtin, Wulfram Gerstner
An online Hebbian learning rule that performs Independent Component Analysis. NIPS (2007)
Laurent Badel, Wulfram Gerstner, Magnus J. E. Richardson
Dependence of the spike-triggered average voltage on membrane response properties. Neurocomputing 69 (10-12) (2006)
Gediminas Luksys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning. NIPS (2006)
Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J. Comput. Neurosci. 21 (1) (2006)
Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Comput. 18 (6) (2006)
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner
Adaptive sensory processing for efficient place coding. Neurocomputing 69 (10-12) (2006)
Thomas Strösslin, Ricardo Chavarriaga, Denis Sheynikhovich, Wulfram Gerstner
Modelling Path Integrator Recalibration Using Hippocampal Place Cells. ICANN (1) (2005)
Magnus J. E. Richardson, Ofer Melamed, Gilad Silberberg, Wulfram Gerstner, Henry Markram
Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts. J. Comput. Neurosci. 18 (3) (2005)
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner
Spatial Representation and Navigation in a Bio-inspired Robot. Biomimetic Neural Learning for Intelligent Robots (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wulfram Gerstner