Wulfram Gerstner

163 papers A* 11B 4C 9Journal 114Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Local Learning Match Self-Supervised Backpropagation? CoRR Wu S. Zihan, Ariane Delrocq, Wulfram Gerstner, Guillaume Bellec
2025	J	`jnl`	Context selectivity with dynamic availability enables lifelong continual learning. Neural Networks Martin L. L. R. Barry, Wulfram Gerstner, Guillaume Bellec
2025	J	`jnl`	Data Augmentation Techniques to Reverse-Engineer Neural Network Weights from Input-Output Queries. CoRR Alexander Beiser, Flavio Martinelli, Wulfram Gerstner, Johanni Brea
2025	J	`jnl`	Flat Channels to Infinity in Neural Loss Landscapes. CoRR Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea
2024	J	`jnl`	Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. Neural Networks Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
2024	A*	`conf`	Expand-and-Cluster: Parameter Recovery of Neural Networks. ICML Flavio Martinelli, Berfin Simsek, Wulfram Gerstner, Johanni Brea
2024	J	`jnl`	Fast adaptation to rule switching using neuronal surprise. PLoS Comput. Biol. Martin L. L. R. Barry, Wulfram Gerstner
2024	J	`jnl`	Learning what matters: Synaptic plasticity with invariance to second-order input correlations. PLoS Comput. Biol. Carlos S. N. Brito, Wulfram Gerstner
2023	J	`jnl`	A dynamic attractor network model of memory formation, reinforcement and forgetting. PLoS Comput. Biol. Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga
2023	J	`jnl`	An exact mapping from ReLU networks to spiking neural networks. Neural Networks Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
2023	J	`jnl`	Are training trajectories of deep single-spike and deep ReLU network equivalent? CoRR Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
2023	J	`jnl`	Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. CoRR Flavio Martinelli, Berfin Simsek, Johanni Brea, Wulfram Gerstner
2023	J	`jnl`	GateON: an unsupervised method for large scale continual learning. CoRR Martin L. L. R. Barry, Guillaume Bellec, Wulfram Gerstner
2023	J	`jnl`	MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). CoRR Johanni Brea, Flavio Martinelli, Berfin Simsek, Wulfram Gerstner
2023	—	`conf`	Music as Flow: A Formal Representation of Hierarchical Processes in Music. ISMIR Zeng Ren, Wulfram Gerstner, Martin Rohrmeier
2023	A*	`conf`	Should Under-parameterized Student Networks Copy or Average Teacher Weights? NeurIPS Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
2023	J	`jnl`	Should Under-parameterized Student Networks Copy or Average Teacher Weights? CoRR Berfin Simsek, Amire Bendjeddou, Wulfram Gerstner, Johanni Brea
2023	A*	`conf`	Trial matching: capturing variability with data-constrained spiking neural networks. NeurIPS Christos Sourmpis, Carl C. H. Petersen, Wulfram Gerstner, Guillaume Bellec
2022	J	`jnl`	An Exact Mapping From ReLU Networks to Spiking Neural Networks. CoRR Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner
2022	B	`conf`	Approximating Relu Networks by Single-Spike Computation. ICIP Ana Stanojevic, Evangelos Eleftheriou, Giovanni Cherubini, Stanislaw Wozniak, Angeliki Pantazi, Wulfram Gerstner
2022	J	`jnl`	Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. NeuroImage Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
2022	A*	`conf`	Kernel Memory Networks: A Unifying Framework for Memory Modeling. NeurIPS Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
2022	J	`jnl`	Kernel Memory Networks: A Unifying Framework for Memory Modeling. CoRR Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
2022	A*	`conf`	Mesoscopic modeling of hidden spiking neurons. NeurIPS Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
2022	J	`jnl`	Mesoscopic modeling of hidden spiking neurons. CoRR Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
2021	A*	`conf`	Fitting summary statistics of neural data with a differentiable spiking network simulator. NeurIPS Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
2021	J	`jnl`	Fitting summary statistics of neural data with a differentiable spiking network simulator. CoRR Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
2021	A*	`conf`	Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
2021	J	`jnl`	Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. CoRR Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
2021	J	`jnl`	Learning in Volatile Environments With the Bayes Factor Surprise. Neural Comput. Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
2021	A*	`conf`	Local plasticity rules can learn deep representations using self-supervised contrastive predictions. NeurIPS Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner
2021	J	`jnl`	Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. PLoS Comput. Biol. He A. Xu, Alireza Modirshanechi, Marco P. Lehmann, Wulfram Gerstner, Michael H. Herzog
2021	J	`jnl`	When shared concept cells support associations: Theory of overlapping memory engrams. PLoS Comput. Biol. Chiara Gastaldi, Tilo Schwalger, Emanuela De Falco, Rodrigo Quian Quiroga, Wulfram Gerstner
2020	J	`jnl`	On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea
2020	J	`jnl`	Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity. CoRR Bernd Illing, Wulfram Gerstner, Guillaume Bellec
2019	J	`jnl`	An Approximate Bayesian Approach to Surprise-Based Learning. CoRR Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks Bernd Illing, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	Biologically plausible deep learning - but how far can we go with shallow networks? CoRR Bernd Illing, Wulfram Gerstner, Johanni Brea
2019	J	`jnl`	How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. PLoS Comput. Biol. Samuel P. Muscinelli, Wulfram Gerstner, Tilo Schwalger
2019	J	`jnl`	Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model. Frontiers Comput. Neurosci. Chiara Gastaldi, Samuel P. Muscinelli, Wulfram Gerstner
2019	J	`jnl`	Stability of working memory in continuous attractor networks under the control of short-term plasticity. PLoS Comput. Biol. Alexander Seeholzer, Moritz Deger, Wulfram Gerstner
2019	J	`jnl`	Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. CoRR Johanni Brea, Berfin Simsek, Bernd Illing, Wulfram Gerstner
2019	J	`jnl`	Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks. CoRR Roman Pogodin, Dane S. Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner
2018	J	`jnl`	BachProp: Learning to Compose Music in Multiple Styles. CoRR Florian Colombo, Wulfram Gerstner
2018	J	`jnl`	Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. Neural Comput. Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner
2018	J	`jnl`	Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR Dane S. Corneil, Wulfram Gerstner, Johanni Brea
2018	A*	`conf`	Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML Dane S. Corneil, Wulfram Gerstner, Johanni Brea
2018	J	`jnl`	Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. PLoS Comput. Biol. Hesam Setareh, Moritz Deger, Wulfram Gerstner
2018	J	`jnl`	Learning to Generate Music with BachProp. CoRR Florian Colombo, Johanni Brea, Wulfram Gerstner
2018	J	`jnl`	Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory. Frontiers Comput. Neurosci. Marco Martinolli, Wulfram Gerstner, Aditya Gilra
2018	A*	`conf`	Non-Linear Motor Control by Local Learning in Spiking Neural Networks. ICML Aditya Gilra, Wulfram Gerstner
2017	—	`ch.`	Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependent Plasticity. Encyclopedia of Machine Learning and Data Mining Wulfram Gerstner
2017	J	`jnl`	Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. Frontiers Comput. Neurosci. Hesam Setareh, Moritz Deger, Carl C. H. Petersen, Wulfram Gerstner
2017	C	`conf`	Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation. EvoMUSART Florian Colombo, Alexander Seeholzer, Wulfram Gerstner
2017	J	`jnl`	Exponentially Long Orbits in Hopfield Neural Networks. Neural Comput. Samuel P. Muscinelli, Wulfram Gerstner, Johanni Brea
2017	J	`jnl`	Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory. CoRR Marco Martinolli, Wulfram Gerstner, Aditya Gilra
2017	J	`jnl`	Non-linear motor control by local learning in spiking neural networks. CoRR Aditya Gilra, Wulfram Gerstner
2017	J	`jnl`	Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks. CoRR Aditya Gilra, Wulfram Gerstner
2017	J	`jnl`	Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. PLoS Comput. Biol. Tilo Schwalger, Moritz Deger, Wulfram Gerstner
2016	J	`jnl`	Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. CoRR Florian Colombo, Samuel P. Muscinelli, Alexander Seeholzer, Johanni Brea, Wulfram Gerstner
2016	J	`jnl`	Balancing New Against Old Information: The Role of Surprise. CoRR Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner
2016	J	`jnl`	Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons. PLoS Comput. Biol. Skander Mensi, Olivier Hagens, Wulfram Gerstner, Christian Pozzorini
2016	J	`jnl`	Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation. PLoS Comput. Biol. Carlos S. N. Brito, Wulfram Gerstner
2016	J	`jnl`	Nonlinear Hebbian learning as a unifying principle in receptive field formation. CoRR Carlos S. N. Brito, Wulfram Gerstner
2016	J	`jnl`	Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. CoRR Thomas Mesnard, Wulfram Gerstner, Johanni Brea
2015	—	`conf`	Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments. NIPS Dane S. Corneil, Wulfram Gerstner
2015	J	`jnl`	Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. PLoS Comput. Biol. Christian Pozzorini, Skander Mensi, Olivier Hagens, Richard Naud, Christof Koch, Wulfram Gerstner
2014	J	`jnl`	Limits to high-speed simulations of spiking neural networks using general-purpose computers. Frontiers Neuroinformatics Friedemann Zenke, Wulfram Gerstner
2014	J	`jnl`	Spike-timing prediction in cortical neurons with active dendrites. Frontiers Comput. Neurosci. Richard Naud, Brice Bathellier, Wulfram Gerstner
2014	J	`jnl`	Stochastic variational learning in recurrent spiking networks. Frontiers Comput. Neurosci. Danilo Jimenez Rezende, Wulfram Gerstner
2013	J	`jnl`	Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons. PLoS Comput. Biol. Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner
2013	J	`jnl`	Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. PLoS Comput. Biol. Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
2012	J	`jnl`	Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram. PLoS Comput. Biol. Richard Naud, Wulfram Gerstner
2012	J	`jnl`	Paradoxical Evidence Integration in Rapid Decision Processes. PLoS Comput. Biol. Johannes Rüter, Nicolas Marcille, Henning Sprekeler, Wulfram Gerstner, Michael H. Herzog
2011	J	`jnl`	Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers Comput. Neurosci. Felipe Gerhard, Gordon Pipa, Bruss Lima, Sergio Neuenschwander, Wulfram Gerstner
2011	—	`conf`	From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models. NIPS Skander Mensi, Richard Naud, Wulfram Gerstner
2011	J	`jnl`	Improved Similarity Measures for Small Sets of Spike Trains. Neural Comput. Richard Naud, Felipe Gerhard, Skander Mensi, Wulfram Gerstner
2011	B	`conf`	Neural pre-coding increases the pattern retrieval capacity of Hopfield and Bidirectional Associative Memories. ISIT Amir Hesam Salavati, K. Raj Kumar, Mohammad Amin Shokrollahi, Wulfram Gerstner
2011	—	`conf`	Variational Learning for Recurrent Spiking Networks. NIPS Danilo Jimenez Rezende, Daan Wierstra, Wulfram Gerstner
2010	—	`ch.`	Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity. Encyclopedia of Machine Learning Wulfram Gerstner
2010	—	`conf`	Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. NIPS Felipe Gerhard, Wulfram Gerstner
2010	J	`jnl`	STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Frontiers Comput. Neurosci. Guillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister
2010	J	`jnl`	Spike-timing dependent plasticity. Scholarpedia Jesper Sjöström, Wulfram Gerstner
2009	J	`jnl`	Adaptive exponential integrate-and-fire model. Scholarpedia Wulfram Gerstner, Romain Brette
2009	—	`conf`	Code-specific policy gradient rules for spiking neurons. NIPS Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner
2009	J	`jnl`	Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Comput. Biol. Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner
2008	J	`jnl`	Extracting non-linear integrate-and-fire models from experimental data using dynamic Biol. Cybern. Laurent Badel, Sandrine Lefort, Thomas K. Berger, Carl C. H. Petersen, Wulfram Gerstner, Magnus J. E. Richardson
2008	J	`jnl`	Firing patterns in the adaptive exponential integrate-and-fire model. Biol. Cybern. Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner
2008	J	`jnl`	Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks. Neural Comput. Brice Bathellier, Alan Carleton, Wulfram Gerstner
2008	J	`jnl`	Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. Abigail Morrison, Markus Diesmann, Wulfram Gerstner
2008	J	`jnl`	Special issue on quantitative neuron modeling. Biol. Cybern. Renaud Jolivet, Arnd Roth, Felix Schürmann, Wulfram Gerstner, Walter Senn
2008	J	`jnl`	Spike-response model. Scholarpedia Wulfram Gerstner
2008	—	`conf`	Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning. NIPS Gediminas Luksys, Carmen Sandi, Wulfram Gerstner
2008	J	`jnl`	Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. PLoS Comput. Biol. Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Büsing, Wulfram Gerstner
2008	J	`jnl`	The quantitative single-neuron modeling competition. Biol. Cybern. Renaud Jolivet, Felix Schürmann, Thomas K. Berger, Richard Naud, Wulfram Gerstner, Arnd Roth
2007	—	`conf`	An online Hebbian learning rule that performs Independent Component Analysis. NIPS Claudia Clopath, André Longtin, Wulfram Gerstner
2007	J	`jnl`	Consciousness & the small network argument. Neural Networks Michael H. Herzog, Michael Esfeld, Wulfram Gerstner
2007	J	`jnl`	Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. Neural Comput. Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
2007	J	`jnl`	Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments. Neurocomputing Claudia Clopath, Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
2006	J	`jnl`	Adaptive sensory processing for efficient place coding. Neurocomputing Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner
2006	J	`jnl`	Dependence of the spike-triggered average voltage on membrane response properties. Neurocomputing Laurent Badel, Wulfram Gerstner, Magnus J. E. Richardson
2006	—	`conf`	Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning. NIPS Gediminas Luksys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner
2006	J	`jnl`	Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Comput. Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
2006	J	`jnl`	Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J. Comput. Neurosci. Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
2005	C	`conf`	A Bayesian kernel for the prediction of neuron properties from binary gene profiles. ICMLA François Fleuret, Wulfram Gerstner
2005	J	`jnl`	A computational model of parallel navigation systems in rodents. Neuroinformatics Ricardo Chavarriaga, Thomas Strösslin, Denis Sheynikhovich, Wulfram Gerstner
2005	—	`conf`	Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects. NIPS Jean-Pascal Pfister, Wulfram Gerstner
2005	J	`jnl`	Competition between cue response and place response: a model of rat navigation behaviour. Connect. Sci. Ricardo Chavarriaga, Thomas Strösslin, Denis Sheynikhovich, Wulfram Gerstner
2005	—	`conf`	Integrate-and-Fire models with adaptation are good enough. NIPS Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
2005	—	`conf`	Modelling Path Integrator Recalibration Using Hippocampal Place Cells. ICANN (1) Thomas Strösslin, Ricardo Chavarriaga, Denis Sheynikhovich, Wulfram Gerstner
2005	J	`jnl`	Robust self-localisation and navigation based on hippocampal place cells. Neural Networks Thomas Strösslin, Denis Sheynikhovich, Ricardo Chavarriaga, Wulfram Gerstner
2005	J	`jnl`	Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts. J. Comput. Neurosci. Magnus J. E. Richardson, Ofer Melamed, Gilad Silberberg, Wulfram Gerstner, Henry Markram
2005	—	`conf`	Spatial Representation and Navigation in a Bio-inspired Robot. Biomimetic Neural Learning for Intelligent Robots Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner
2005	J	`jnl`	Subthreshold cross-correlations between cortical neurons: A reference model with static synapses. Neurocomputing Ofer Melamed, Gilad Silberberg, Henry Markram, Wulfram Gerstner, Magnus J. E. Richardson
2005	J	`jnl`	Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance. Neural Comput. Magnus J. E. Richardson, Wulfram Gerstner
2004	J	`jnl`	Brain-actuated interaction. Artif. Intell. José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner
2004	J	`jnl`	Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. IEEE Trans. Neural Networks Angelo Arleo, Fabrizio Smeraldi, Wulfram Gerstner
2004	B	`conf`	Combining visual and proprioceptive information in a model of spatial learning and navigation. IJCNN Ricardo Chavarriaga, Wulfram Gerstner
2004	J	`jnl`	Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans. Biomed. Eng. José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner
2004	—	`conf`	Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. NIPS Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
2003	A*	`conf`	Non-Invasive Brain-Actuated Control of a Mobile Robot. IJCAI José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner
2003	C	`conf`	Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network. ICANN Julien Mayor, Wulfram Gerstner
2003	C	`conf`	Optimal Hebbian Learning: A Probabilistic Point of View. ICANN Jean-Pascal Pfister, David Barber, Wulfram Gerstner
2003	C	`conf`	The Spike Response Model: A Framework to Predict Neuronal Spike Trains. ICANN Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
2002	C	`conf`	Combining Multimodal Sensory Input for Spatial Learning. ICANN Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner
2002	C	`conf`	Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks. ICANN Pierre-Edouard Sottas, Wulfram Gerstner
2002	J	`jnl`	Mathematical formulations of Hebbian learning. Biol. Cybern. Wulfram Gerstner, Werner M. Kistler
2002	J	`jnl`	Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron Data. J. Comput. Neurosci. Alix Herrmann, Wulfram Gerstner
2002	—	`book`	Spiking Neuron Models: Single Neurons, Populations, Plasticity Wulfram Gerstner, Werner M. Kistler
2002	J	`jnl`	Stable Propagation of Activity Pulses in Populations of Spiking Neurons. Neural Comput. Werner M. Kistler, Wulfram Gerstner
2002	—	`conf`	Support Vector Features and the Role of Dimensionality in Face Authentication. SVM Fabrizio Smeraldi, Josef Bigün, Wulfram Gerstner
2002	C	`conf`	Support Vector Representation of Multi-categorical Data. ICANN Silvio Borer, Wulfram Gerstner
2001	J	`jnl`	Coding properties of spiking neurons: reverse and cross-correlations. Neural Networks Wulfram Gerstner
2001	J	`jnl`	Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Comput. Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
2001	J	`jnl`	Noise and the PSTH Response to Current Transients: I. General Theory and Application to the Integrate-and-Fire Neuron. J. Comput. Neurosci. Alix Herrmann, Wulfram Gerstner
2001	J	`jnl`	Spatial orientation in navigating agents: Modeling head-direction cells. Neurocomputing Angelo Arleo, Wulfram Gerstner
2001	J	`jnl`	The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli. Neurocomputing Mona Spiridon, Wulfram Gerstner
2000	B	`conf`	Comparison of Face Verification Results on the XM2VTS Database. ICPR Jiri Matas, Miroslav Hamouz, Kenneth Jonsson, Josef Kittler, Yongping Li, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, Teewoon Tan, Hong Yan, Fabrizio Smeraldi, N. Capdevielle, Wulfram Gerstner, Yousri Abdeljaoued, Josef Bigün, S. Ben-Yacoub, Eddy Mayoraz
2000	J	`jnl`	Effect of correlations on signal transmission in a population of spiking neurons. Neurocomputing Mona Spiridon, Carson C. Chow, Wulfram Gerstner
2000	J	`jnl`	Effect of noise on neuron transient response. Neurocomputing Alix Herrmann, Wulfram Gerstner
2000	J	`jnl`	Escape rate models for noisy integrate-and-free neurons. Neurocomputing Hans E. Plesser, Wulfram Gerstner
2000	J	`jnl`	Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates. Neural Comput. Hans E. Plesser, Wulfram Gerstner
2000	—	`conf`	Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning. NIPS Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner
2000	J	`jnl`	Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking. Neural Comput. Wulfram Gerstner
2000	J	`jnl`	Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. Biol. Cybern. Angelo Arleo, Wulfram Gerstner
1999	—	`conf`	Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type. IWANN (1) Mona Spiridon, Wulfram Gerstner
1998	J	`jnl`	Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Comput. Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
1998	—	`conf`	Spike-Based Compared to Rate-Based Hebbian Learning. NIPS Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen
1997	C	`ed.`	Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings ICANN Wulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud
1997	J	`jnl`	Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells. J. Comput. Neurosci. Wulfram Gerstner, L. F. Abbott
1997	J	`jnl`	Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. Neural Comput. Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen
1996	J	`jnl`	Vertical signal flow and oscillations in a three-layer model of the cortex. J. Comput. Neurosci. Ursula Fuentes, Raphael Ritz, Wulfram Gerstner, J. Leo van Hemmen
1996	J	`jnl`	What Matters in Neuronal Locking? Neural Comput. Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan
1995	J	`jnl`	Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Comput. C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1995	—	`conf`	Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. NIPS Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner
1994	J	`jnl`	A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. Raphael Ritz, Wulfram Gerstner, Ursula Fuentes, J. Leo van Hemmen
1994	J	`jnl`	Emergence of spatiotemporal receptive fields and its application to motion detection. Biol. Cybern. Stefan Wimbauer, Wulfram Gerstner, J. Leo van Hemmen
1993	J	`jnl`	A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biol. Cybern. Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1993	—	`conf`	How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS Wulfram Gerstner, J. Leo van Hemmen
1993	J	`jnl`	Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biol. Cybern. Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen
1992	J	`jnl`	Universality in neural networks: the importance of the 'mean firing rate'. Biol. Cybern. Wulfram Gerstner, J. Leo van Hemmen
1990	—	`conf`	Associative Memory in a Network of 'Biological' Neurons. NIPS Wulfram Gerstner
1990	—	`conf`	Encoding and Decoding of Patterns which are Correlated in Space and Time. ÖGAI J. Leo van Hemmen, Wulfram Gerstner, Andreas V. M. Herz, Reimer Kühn, B. Sulzer, M. Vaas