Wulfram Gerstner

Johannes Rüter, Nicolas Marcille, Henning Sprekeler, Wulfram Gerstner, Michael H. Herzog: Paradoxical Evidence Integration in Rapid Decision Processes. PLoS Computational Biology 8(2) (2012)

Richard Naud, Wulfram Gerstner: Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram. PLoS Computational Biology 8(10) (2012)

Richard Naud, Felipe Gerhard, Skander Mensi, Wulfram Gerstner: Improved Similarity Measures for Small Sets of Spike Trains. Neural Computation 23(12): 3016-3069 (2011)

Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner: Variational Learning for Recurrent Spiking Networks. NIPS 2011: 136-144

Skander Mensi, Richard Naud, Wulfram Gerstner: From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models. NIPS 2011: 1377-1385

Jesper Sjöström, Wulfram Gerstner: Spike-timing dependent plasticity. Scholarpedia 5(2): 1362 (2010)

Felipe Gerhard, Wulfram Gerstner: Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. NIPS 2010: 703-711

Wulfram Gerstner: Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity. Encyclopedia of Machine Learning 2010: 111-132

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 Computational Biology 5(12) (2009)

Wulfram Gerstner, Romain Brette: Adaptive exponential integrate-and-fire model. Scholarpedia 4(6): 8427 (2009)

Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner: Code-specific policy gradient rules for spiking neurons. NIPS 2009: 1741-1749

Abigail Morrison, Markus Diesmann, Wulfram Gerstner: Phenomenological models of synaptic plasticity based on spike timing. Biological Cybernetics 98(6): 459-478 (2008)

Renaud Jolivet, Arnd Roth, Felix Schürmann, Wulfram Gerstner, Walter Senn: Special issue on quantitative neuron modeling. Biological Cybernetics 99(4-5): 237-239 (2008)

Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner: Firing patterns in the adaptive exponential integrate-and-fire model. Biological Cybernetics 99(4-5): 335-347 (2008)

Laurent Badel, Sandrine Lefort, Thomas K. Berger, Carl C. H. Petersen, Wulfram Gerstner, Magnus J. E. Richardson: Extracting non-linear integrate-and-fire models from experimental data using dynamic I - V curves. Biological Cybernetics 99(4-5): 361-370 (2008)

Renaud Jolivet, Felix Schürmann, Thomas K. Berger, Richard Naud, Wulfram Gerstner, Arnd Roth: The quantitative single-neuron modeling competition. Biological Cybernetics 99(4-5): 417-426 (2008)

Brice Bathellier, Alan Carleton, Wulfram Gerstner: Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks. Neural Computation 20(12): 2973-3002 (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 Computational Biology 4(12) (2008)

Wulfram Gerstner: Spike-response model. Scholarpedia 3(12): 1343 (2008)

Gediminas Luksys, Carmen Sandi, Wulfram Gerstner: Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning. NIPS 2008: 1001-1008

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): 1668-1673 (2007)

Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner: Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. Neural Computation 19(3): 639-671 (2007)

Michael H. Herzog, Michael Esfeld, Wulfram Gerstner: Consciousness & the small network argument. Neural Networks 20(9): 1054-1056 (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): 1062-1065 (2006)

Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner: Adaptive sensory processing for efficient place coding. Neurocomputing 69(10-12): 1211-1214 (2006)

Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner: Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of Computational Neuroscience 21(1): 35-49 (2006)

Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner: Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Computation 18(6): 1318-1348 (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: 937-944

Ricardo Chavarriaga, Thomas Strösslin, Denis Sheynikhovich, Wulfram Gerstner: Competition between cue response and place response: a model of rat navigation behaviour. Connect. Sci. 17(1-2): 167-183 (2005)

Ofer Melamed, Gilad Silberberg, Henry Markram, Wulfram Gerstner, Magnus J. E. Richardson: Subthreshold cross-correlations between cortical neurons: A reference model with static synapses. Neurocomputing 65-66: 685-690 (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. Journal of Computational Neuroscience 18(3): 323-331 (2005)

Magnus J. E. Richardson, Wulfram Gerstner: Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance. Neural Computation 17(4): 923-947 (2005)

Ricardo Chavarriaga, Thomas Strösslin, Denis Sheynikhovich, Wulfram Gerstner: A computational model of parallel navigation systems in rodents. Neuroinformatics 3(3): 223-241 (2005)

Thomas Strösslin, Denis Sheynikhovich, Ricardo Chavarriaga, Wulfram Gerstner: Robust self-localisation and navigation based on hippocampal place cells. Neural Networks 18(9): 1125-1140 (2005)

Thomas Strösslin, Ricardo Chavarriaga, Denis Sheynikhovich, Wulfram Gerstner: Modelling Path Integrator Recalibration Using Hippocampal Place Cells. ICANN (1) 2005: 51-56

François Fleuret, Wulfram Gerstner: A Bayesian kernel for the prediction of neuron properties from binary gene profiles. ICMLA 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: 245-264

Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner: Integrate-and-Fire models with adaptation are good enough. NIPS 2005

Jean-Pascal Pfister, Wulfram Gerstner: Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects. NIPS 2005

José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner: Brain-actuated interaction. Artif. Intell. 159(1-2): 241-259 (2004)

José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner: Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans. Biomed. Engineering 51(6): 1026-1033 (2004)

Angelo Arleo, Fabrizio Smeraldi, Wulfram Gerstner: Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. IEEE Transactions on Neural Networks 15(3): 639-652 (2004)

Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner: Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. NIPS 2004

Jean-Pascal Pfister, David Barber, Wulfram Gerstner: Optimal Hebbian Learning: A Probabilistic Point of View. ICANN 2003: 92-98

Julien Mayor, Wulfram Gerstner: Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network. ICANN 2003: 839-845

Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner: The Spike Response Model: A Framework to Predict Neuronal Spike Trains. ICANN 2003: 846-853

José del R. Millán, Frédéric Renkens, Josep Mouriño, Wulfram Gerstner: Non-Invasive Brain-Actuated Control of a Mobile Robot. IJCAI 2003: 1121-1126

Wulfram Gerstner, Werner M. Kistler: Mathematical formulations of Hebbian learning. Biological Cybernetics 87(5-6): 404-415 (2002)

Alix Herrmann, Wulfram Gerstner: Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron Data. Journal of Computational Neuroscience 12(2): 83-95 (2002)

Werner M. Kistler, Wulfram Gerstner: Stable Propagation of Activity Pulses in Populations of Spiking Neurons. Neural Computation 14(5): 987-997 (2002)

Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner: Combining Multimodal Sensory Input for Spatial Learning. ICANN 2002: 87-92

Silvio Borer, Wulfram Gerstner: Support Vector Representation of Multi-categorical Data. ICANN 2002: 733-738

Pierre-Edouard Sottas, Wulfram Gerstner: Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks. ICANN 2002: 1144-1149

Fabrizio Smeraldi, Josef Bigün, Wulfram Gerstner: Support Vector Features and the Role of Dimensionality in Face Authentication. SVM 2002: 249-259

Mona Spiridon, Wulfram Gerstner: The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli. Neurocomputing 38-40: 927-934 (2001)

Angelo Arleo, Wulfram Gerstner: Spatial orientation in navigating agents: Modeling head-direction cells. Neurocomputing 38-40: 1059-1065 (2001)

Alix Herrmann, Wulfram Gerstner: Noise and the PSTH Response to Current Transients: I. General Theory and Application to the Integrate-and-Fire Neuron. Journal of Computational Neuroscience 11(2): 135-151 (2001)

Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen: Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. Neural Computation 13(12): 2709-2741 (2001)

Wulfram Gerstner: Coding properties of spiking neurons: reverse and cross-correlations. Neural Networks 14(6-7): 599-610 (2001)

Angelo Arleo, Wulfram Gerstner: Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. Biological Cybernetics 83(3): 287-299 (2000)

Alix Herrmann, Wulfram Gerstner: Effect of noise on neuron transient response. Neurocomputing 32-33: 147-154 (2000)

Hans E. Plesser, Wulfram Gerstner: Escape rate models for noisy integrate-and-free neurons. Neurocomputing 32-33: 219-224 (2000)

Mona Spiridon, Carson C. Chow, Wulfram Gerstner: Effect of correlations on signal transmission in a population of spiking neurons. Neurocomputing 32-33: 529-535 (2000)

Wulfram Gerstner: Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking. Neural Computation 12(1): 43-89 (2000)

Hans E. Plesser, Wulfram Gerstner: Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates. Neural Computation 12(2): 367-384 (2000)

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, E. Mayoraz: Comparison of Face Verification Results on the XM2VTS Database. ICPR 2000: 4858-4863

Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner: Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning. NIPS 2000: 89-95

Mona Spiridon, Wulfram Gerstner: Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type. IWANN (1) 1999: 268-276

Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner: Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. Neural Computation 10(8): 1987-2017 (1998)

Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen: Spike-Based Compared to Rate-Based Hebbian Learning. NIPS 1998: 125-131

Wulfram Gerstner, L. F. Abbott: Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells. Journal of Computational Neuroscience 4(1): 79-94 (1997)

Werner M. Kistler, Wulfram Gerstner, J. Leo van Hemmen: Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. Neural Computation 9(5): 1015-1045 (1997)

Wulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud (Eds.): Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings. Lecture Notes in Computer Science 1327, Springer 1997, isbn 3-540-63631-5

C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen: Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Computation 7(5): 905-914 (1995)

Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner: Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. NIPS 1995: 124-130

Raphael Ritz, Wulfram Gerstner, Ursula Fuentes, J. Leo van Hemmen: A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biological Cybernetics 71(4): 349-358 (1994)

Stefan Wimbauer, Wulfram Gerstner, J. Leo van Hemmen: Emergence of spatiotemporal receptive fields and its application to motion detection. Biological Cybernetics 72(1): 81-92 (1994)

Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen: A biologically motivated and analytically soluble model of collective oscillations in the cortex. Biological Cybernetics 68(4): 363-374 (1993)

Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen: Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biological Cybernetics 69(5-6): 503-515 (1993)

Wulfram Gerstner, J. Leo van Hemmen: How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? NIPS 1993: 463-470

Wulfram Gerstner, J. Leo van Hemmen: Universality in neural networks: the importance of the 'mean firing rate'. Biological Cybernetics 67(3): 195-205 (1992)

Wulfram Gerstner: Associative Memory in a Network of `Biological' Neurons. NIPS 1990: 84-90

J. Leo van Hemmen, Wulfram Gerstner, Andreas V. M. Herz, Reimer Kühn, B. Sulzer, M. Vaas: Encoding and Decoding of Patterns which are Correlated in Space and Time. ÖGAI 1990: 153-162