This publications page has been generated from the Infoscience publications database. So when updating, please update publications here. Copyright holders include the respective journal and conference publishers (such as IEEE, SPIE, and IS&T). Available for personal, non-commercial purposes only.
Search
| Journal Papers | Conference Papers | Ph.D. Theses | Book chapters | Books |
D. Wierstra and D. Jimenez Rezende, Capturing Long-Term Time Dependencies in Stochastic Data, submitted to .
[detailed record] [bibtex]
L. Wiskott, P. Berkes, M. Franzius, H. Sprekeler and N. Wilbert, Slow Feature Analysis , Scholarpedia Journal, Vol. 6, Nr. 4, pp. 5282, 2011.
[detailed record] [bibtex]
H. Sprekeler, On the Relation of Slow Feature Analysis and Laplacian Eigenmaps, Neural Computation, Vol. 23, Nr. 12, pp. 3287-3302, 2011.
[detailed record] [bibtex]
J. Gjorgjieva, C. Clopath, J. Audet and J.-P. Pfister, A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations, Proceedings Of The National Academy Of Sciences Of The United States Of America, Vol. 108, pp. 19383-19388, 2011.
[detailed record] [bibtex]
T. Vogels, H. Sprekeler, F. Zenke, C. Clopath and W. Gerstner, Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks, Science, Vol. 334, Nr. 6062, pp. 1569-1573, 2011.
[detailed record] [bibtex]
R. Naud, F. Gerhard, S. Mensi and W. Gerstner, Improved Similarity Measures for Small Sets of Spike Trains, Neural Computation, Vol. 23, Nr. 12, pp. 3016-3069, 2011.
[detailed record] [bibtex]
H. Markram, W. Gerstner and P.J. Sjöström, A history of spike-timing-dependent plasticity, Frontiers in Synaptic Neuroscience, Vol. 3, Nr. 4, pp. 1-24, 2011.
[detailed record] [bibtex]
F. Gerhard, R. Haslinger and G. Pipa, Applying the Multivariate Time-Rescaling Theorem to Neural Population Models., Neural Computation, Vol. 23, Nr. 6, pp. 1452-1483, 2011.
[detailed record] [bibtex]
F. Gerhard, G. Pipa, B. Lima, S. Neuenschwander and W. Gerstner, Extraction of network topology from multi-electrode recordings: Is there a small-world effect?, Frontiers in Computational Neuroscience, Vol. 5, Nr. 4, pp. 1-13, 2011.
[detailed record] [bibtex]
T. Schaul, J. Bayer, D. Wierstra, Y. Sun, M. Felder, F. Sehnke, T. Rueckstieß and J. Schmidhuber, PyBrain, Journal of Machine Learning Research, Vol. 11, pp. 743-746, 2010.
[detailed record] [bibtex]
G. Hennequin, W. Gerstner and J.-P. Pfister, STDP in adaptive neurons gives close-to-optimal information transmission, frontiers in computational neuroscience, Vol. 4, Nr. 143, 2010.
[detailed record] [bibtex]
W. Gerstner, From Hebb rules to Spike-Timing-Dependent Plasticity: a personal account, frontiers in synaptic neuroscience, 2010.
[detailed record] [bibtex]
C. Clopath and W. Gerstner, Voltage and spike timing interact in STDP – a unified model, Frontiers in Synaptic Neuroscience, Vol. 2, Nr. 25, 2010.
[detailed record] [bibtex]
N. Frémaux, H. Sprekeler and W. Gerstner, Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity, Journal of Neuroscience, Vol. 30, Nr. 40, pp. 13326-13337, 2010.
[detailed record] [bibtex]
W. Gerstner and J. Sjostrom, Spike-timing dependent plasticity, Scholarpedia, Vol. On line, 2010.
[detailed record] [bibtex]
C. Clopath, L. Büsing, E. Vasilaki and W. Gerstner, Connectivity reflects coding: a model of voltage-based STDP with homeostasis, Nature Neuroscience, Vol. 13, Nr. 3, pp. 344-352, 2010.
[detailed record] [bibtex]
G. Luksys, W. Gerstner and C. Sandi, Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning, Nature Neuroscience, Vol. 12, Nr. 9, pp. 1180-6, 2009.
[detailed record] [bibtex]
E. Vasilaki, N. Frémaux, R. Urbanczik, W. Senn and W. Gerstner, Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail, PLoS Computational Biology, Vol. 5, Nr. 12, pp. e1000586, 2009.
[detailed record] [bibtex]
W. Gerstner and R. Naud, How Good are Neuron Models?, Science, Vol. 326, Nr. 5951, pp. 379-380, 2009.
[detailed record] [bibtex]
D. Bruederle, Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System, Frontiers in Neuroinformatics, Vol. 3, Nr. 17, pp. 1-10, 2009.
[detailed record] [bibtex]
M. Hines, A.P. Davison and E. Muller, NEURON and Python, Frontiers in Neuroinformatics, Vol. 3, Nr. 1, pp. 1-12, 2009.
[detailed record] [bibtex]
D. Sheynikhovich, R. Chavarriaga, T. Strösslin, A. Arleo and W. Gerstner, Is there a geometric module for spatial orientation? Insights from a rodent navigation model., Psychological Review, Vol. 116, Nr. 3, pp. 540-566, 2009.
[detailed record] [bibtex]
G. Luksys, W. Gerstner and C. Sandi, Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning, Nature Neurosci, Vol. 12, Nr. 9, pp. 1180-6, 2009.
[detailed record] [bibtex]
B. Bathellier and A. Carleton, Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks, Neural Computation, Vol. 20, Nr. 12, pp. 2973-3002, 2008.
[detailed record] [bibtex]
R. Jolivet, A. Roth, F. Schuermann, W. Gerstner and W. Senn, Special issue on quantitative neuron modeling, Biological Cybernetics, Vol. 99, pp. 237-239, 2008.
[detailed record] [bibtex]
F. Hermens, G. Luksys, W. Gerstner, M.H. Herzog and U. Ernst, Modeling spatial and temporal aspects of visual backward masking., Psychological review, Vol. 115, Nr. 1, pp. 83-100, 2008.
[detailed record] [bibtex]
J.M. Eppler, M. Helias, E. Muller, M. Diesmann and M.-O. Gewaltig, PyNEST: a convenient interface to the NEST simulator, Frontiers in Neuroinformatics, Vol. 2, Nr. 12, pp. 1-12, 2008.
[detailed record] [bibtex]
A.P. Davison, D. Brüderle, J. Eppler, J. Kremkow, E. Muller, D. Pecevski, L. Perrinet and P. Yger, PyNN: a common interface for neuronal network simulators, Frontiers in Neuroinformatics, Vol. 2, Nr. 11, pp. 1-10, 2008.
[detailed record] [bibtex]
L. Badel, S. Lefort, T.K. Berger, C.C.H. Petersen, W. Gerstner and M.J.E. Richardson, Extracting non-linear integrate-and-fire models from experimental data using dynamic I – V curves , Biological Cybernetics, Vol. 99, Nr. 4-5, pp. 361-370, 2008.
[detailed record] [bibtex]
C. Clopath, L. Ziegler, E. Vasilaki, L. Buesing and W. Gerstner, Tag-Trigger-Consolidation: A Model of Early and Late ong-Term-Potentiation and Depression, PLoS Comput Biol, Vol. 4, Nr. 12, pp. e1000248, 2008.
[detailed record] [bibtex]
R. Jolivet, F. Schürmann, T.K. Berger, R. Naud, W. Gerstner and A. Roth, The quantitative single-neuron modeling competition, Biological Cybernetics, Vol. 99, Nr. 4-5, pp. 417-426, 2008.
[detailed record] [bibtex]
R. Naud, N. Marcille, C. Clopath and W. Gerstner, Firing patterns in the adaptive exponential integrate-and-fire model , Biological Cybernetics, Vol. 99, Nr. 4-5, pp. 335-347, 2008.
[detailed record] [bibtex]
F. Creutzig and H. Sprekeler, Predictive Coding and the Slowness Principle: An Information-Theoretic Approach, Neural Computation, Vol. 20, Nr. 4, pp. 1026-1041, 2008.
[detailed record] [bibtex]
A. Morrison, M. Diesmann and W. Gerstner, Phenomenological models of synaptic plasticity based on spike timing, Biological Cybernetics, Vol. 98, Nr. 6, pp. 459-478, 2008.
[detailed record] [bibtex]
L. Badel, W. Gerstner and J.E. Richardson, Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive, PHYSICAL REVIEW E, Vol. 78, Nr. 1, pp. 011914 1-12, 2008.
[detailed record] [bibtex]
R. Jolivet, R. Kobayashi, A. Rauch, R. Naud, S. Shinomoto and W. Gerstner, A benchmark test for a quantitative assessment of simple neuron models, Journal of Neuroscience Methods, Vol. 169, Nr. 2, pp. 417-424, 2008.
[detailed record] [bibtex]
L. Badel, S. Lefort, R. Brette, C.C.H. Petersen, W. Gerstner and M.J.E. Richardson, Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces, Journal of Neurophysiology, Vol. 99, pp. 656-666, 2008.
[detailed record] [bibtex]
M. Franzius, H. Sprekeler and L. Wiskott, Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells, PLoS Computational Biology, Vol. 3, Nr. 8, pp. 1605-1622, 2007.
[detailed record] [bibtex]
H. Sprekeler, C. Michaelis and L. Wiskott, Slowness: An Objective for Spike-Timing-Dependent Plasticity?, PLoS Computational Biology, Vol. 3, Nr. 6, pp. 1136-1148, 2007.
[detailed record] [bibtex]
M.H. Herzog, M. Esfeld and W. Gerstner, Consciousness & the Small Network Argument , Neural Networks, Vol. 20, Nr. 9, pp. 1054-1056, 2007.
[detailed record] [bibtex]
C. Clopath, R. Jolivet, A. Rauch, H.-R. Lüscher and W. Gerstner, Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments, Neurocomputing, Vol. 70, Nr. 10-12, pp. 1668-1673, 2007.
[detailed record] [bibtex]
T. Toyoizumi, J.-P. Pfister, K. Aihara and W. Gerstner, Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: Synaptic Memory and Weight Distribution, Neural Computation, Vol. 19, Nr. 3, pp. 639-671, 2007.
[detailed record] [bibtex]
L. Badel, W. Gerstner and M.J.E. Richardson, Dependence of the spike-triggered average voltage on membrane response properties, Neurocomputing, Vol. 69, Nr. 10-12, pp. 1062-1065, 2006.
[detailed record] [bibtex]
Y. Aviel and W. Gerstner, From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness, Phys. Rev. E, Vol. 73, Nr. 5, pp. 051908 1-10, 2006.
[detailed record] [bibtex]
R. Jolivet, A. Rauch, H.R. Lüscher and W. Gerstner, Predicting spike timing of neocortical pyramidal neurons by simple threshold models, J. Computational Neuroscience, Vol. 21, Nr. 1, pp. 35-49, 2006.
[detailed record] [bibtex]
J.P. Pfister and W. Gerstner, Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity, J. Neuroscience, Vol. 26, Nr. 38, pp. 9673-9682, 2006.
[detailed record] [bibtex]
J.P. Pfister, T. Toyoizumi, D. Barber and W. Gerstner, Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning, Neural Computation, Vol. 18, Nr. 6, pp. 1318-1348, 2006.
[detailed record] [bibtex]
M.J.E. Richardson and W. Gerstner, Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noise, Chaos, Vol. 16, Nr. 2, pp. 26106, 2006.
[detailed record] [bibtex]
O. Melamed, G. Silberberg, H. Markram, W. Gerstner and M.J.E. Richardson, Subthreshold cross-correlations between cortical neurons: A reference model with static synapses, NEUROCOMPUTING, Nr. 65-66, pp. 685-690, 2005.
[detailed record] [bibtex]
T. Strösslin, D. Sheynikhovich, R. Chavarriaga and W. Gerstner, Robust self-localisation and navigation based on hippocampal place cells, NEURAL NETWORKS , Vol. 18, Nr. (9), pp. 1125-1140, 2005.
[detailed record] [bibtex]
R. Brette and W. Gerstner, Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity, J. Neurophysiol., Vol. 94, pp. 3637 - 3642, 2005.
[detailed record] [bibtex]
R. Chavarriaga, T. Strösslin, D. Sheynikhovich and W. Gerstner, Competition between cue response and place response: A model of rat navigation behaviour, Connection Science, Vol. 17, Nr. 1-2, pp. 167-183, 2005.
[detailed record] [bibtex]
R. Chavarriaga, T. Strösslin, D. Sheynikhovich and W. Gerstner, A computational model of parallel navigation systems in rodents, Neuroinformatics, Vol. 3, Nr. 3, pp. 223-241, 2005.
[detailed record] [bibtex]
J. Mayor and W. Gerstner, Signal buffering in random networks of spiking neurons: microscopic vs. macroscopic phenomena, Phys. Rev. E, Vol. 72, Nr. 5, pp. 051906, 2005.
[detailed record] [bibtex]
J. Mayor and W. Gerstner, Noise-enhanced computation in a model of a cortical column, Neuroreport, Vol. 16, Nr. 11, pp. 1237-1240, 2005.
[detailed record] [bibtex]
M.J.E. Richardson and W. Gerstner, Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance, Neural Computation, Vol. 17, Nr. 4, pp. 923-947, 2005.
[detailed record] [bibtex]
M.J.E. Richardson, O. Melamed, G. Silberberg, W. Gerstner and H. Markram, Short-term-plasticity orchestrates the response of pyramidal cells and interneurons to population bursts, J. Computational Neuroscience, Vol. 18, pp. 323-331, 2005.
[detailed record] [bibtex]
T. Toyoizumi, J.P. Pfister, K. Aihara and W. Gerstner, Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission, Proc. National Academy Sciences (USA), Vol. 102, Nr. 14, pp. 5239-5244, 2005.
[detailed record] [bibtex]
L. Badel and A. Tonnelier, Pulse propagation in discrete excitatory networks of integrate-and-fire neurons, Physical Review E, Vol. 70, Nr. 1, pp. 011906 1-7, 2004.
[detailed record] [bibtex]
A. Arleo, F. Smeraldi and W. Gerstner, Cognitive navigation based on non-uniform Gabor space sampling, unsupervised growing networks, and reinforcement learning, IEEE Transactions on Neural Networks, Vol. 15, Nr. 3, pp. 639-652, 2004.
[detailed record] [bibtex]
R. Jolivet and W. Gerstner, Predicting spike times of a detailed conductance- based neuron model driven by stochastic spike arrival, J. Physiol. Paris, Vol. 98, Nr. 4-6, pp. 442-451, 2004.
[detailed record] [bibtex]
R. Jolivet, T.J. Lewis and W. Gerstner, Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy, J. Neurophysiol., Vol. 92, pp. 959-976, 2004.
[detailed record] [bibtex]
J. Mayor and W. Gerstner, Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation, Journal of Physiology (Paris), Vol. 98, Nr. 4-6, pp. 417-428, 2004.
[detailed record] [bibtex]
O. Melamed, W. Gerstner, W. Maass, M. Tsodyks and H. Markram, Coding and Learning of behavioral sequences, Trends in Neurosciences, Vol. 27, Nr. 1, pp. 11-14, 2004.
[detailed record] [bibtex]
M.J. protectdel R, F. Renkens, J. Mourino and W. Gerstner, Non-invasive Brain actuated control of a mobile robot by Human EEG, IEEE Transactions on Biomedical Engineering, Vol. 51, Nr. 6, pp. 1026-1033, 2004.
[detailed record] [bibtex]
J.d.R. Millán, F. Renkens, J. Mourino and W. Gerstner, Brain-actuated interaction, Artificial Intelligence, Vol. 159, Nr. 1-2, pp. 241-259, 2004.
[detailed record] [bibtex]
A. Tonnelier and W. Gerstner, Piecewise linear differential equations and integrate-and-fire neurons : insights from two-dimensional membrane models, Phys. Rev. E, Vol. 67, Nr. 2, pp. 21908, 2003.
[detailed record] [bibtex]
W. Gerstner and W.K. Kistler, Mathematical Formulations of Hebbian Learning, Biological Cybernetics, Vol. 87, Nr. 5-6, pp. 404-415, 2002.
[detailed record] [bibtex]
W.M. Kistler and W. Gerstner, Stable Propagation of Activity Pulses in Populations of Spiking Neurons, Neural Computation, Vol. 14, Nr. 5, pp. 987-997, 2002.
[detailed record] [bibtex]
A. Arleo and W. Gerstner, Spatial orientation in navigating agents: Modeling head-direction cells, Neurocomputing, Vol. 38-40, Nr. 1-4, pp. 1059-1065, 2001.
[detailed record] [bibtex]
W. Gerstner, Coding properties of spiking neurons: reverse- and cross-correlations, Neural Networks, Vol. 14, Nr. 6-7, pp. 599-610, 2001.
[detailed record] [bibtex]
A. Herrmann and W. Gerstner, Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron, J. Computational Neuroscience, Vol. 11, Nr. 2, pp. 135-151, 2001.
[detailed record] [bibtex]
A. Herrmann and W. Gerstner, Noise and the PSTH response to current transients II. Integrate-and-fire model with slow recovery and application to motoneuron data, J. Computational Neuroscience, Vol. 12, Nr. 2, pp. 83-95, 2001.
[detailed record] [bibtex]
R. Kempter, W. Gerstner and J.L. van Hemmen, Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning, Neural Computation, Vol. 13, Nr. 12, pp. 2709-2741, 2001.
[detailed record] [bibtex]
M. Spiridon and W. Gerstner, Effect of lateral connections on the accuracy of the population code for a network of spiking neurons, Network: Computation in Neural Systems, Vol. 12, Nr. 4, pp. 409-421257-272, 2001.
[detailed record] [bibtex]
A. Arleo and W. Gerstner, Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity, Biological Cybernetics, Vol. 83, Nr. 3, pp. 287-299, 2000.
[detailed record] [bibtex]
W. Gerstner, Population dynamics of spiking neurons: fast transients, asynchronous states and locking, Neural Computation, Vol. 12, Nr. 1, pp. 43-89, 2000.
[detailed record] [bibtex]
A. Herrmann and W. Gerstner, Effect of noise on neuron transient response, Neurocomputing, Vol. 32-33, pp. 147-154, 2000.
[detailed record] [bibtex]
M. Spiridon, C.C. Chow and W. Gerstner, Effect of correlations on signal transmission in a population of spiking neurons, Neurocomputing, Vol. 32-33, Nr. 1-4, pp. 529-535, 2000.
[detailed record] [bibtex]
R. Kempter, W. Gerstner and J.L. van Hemmen, Hebbian learning and spiking neurons, Phys. Rev. E, Vol. 59, Nr. 4, pp. 4498--4514, 1999.
[detailed record] [bibtex]
E.J. Mar, C.C. Chow, W. Gerstner, R.W. Adams and J.J. Collins, Noise-shaping in populations of coupled model neurons, Proc. Natl. Acad. Sci. USA, Vol. 96, Nr. 18, pp. 10450-10455, 1999.
[detailed record] [bibtex]
M. Spiridon and W. Gerstner, Noise spectrum and signal transmission trough a population of spiking neurons, Network: Computation in Neural Systems, Vol. 10, Nr. 3, pp. 257-272, 1999.
[detailed record] [bibtex]
R. Kempter, W. Gerstner and J.L. van Hemmen, How the threshold of a neuron determines its capacity for coincidence detection, BioSystems, Vol. 48, Nr. 1-3, pp. 105-112, 1998.
[detailed record] [bibtex]
R. Kempter, W. Gerstner, J.L. van Hemmen and H. Wagner, Extracting oscillations: Neuronal coincidence detection with noisy periodic spike input, Neural Comput., Vol. 10, Nr. 8, pp. 1987-2017, 1998.
[detailed record] [bibtex]
S. Wimbauer, W. Gerstner and J.L. van Hemmen, Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortex, Network, Vol. 9, pp. 449-466, 1998.
[detailed record] [bibtex]
W. Gerstner and L.F. Abbott, Learning navigational maps through potentiation and modulation of hippocampal place cells, Journal of Comput. Neurosci., Vol. 4, pp. 79-94, 1997.
[detailed record] [bibtex]
W. Gerstner, A.K. Kreiter, H. Markram and A.V.M. Herz, Neural codes: firing rates and beyond, Proc. Natl. Acad. Sci. USA, Vol. 94, Nr. 24, pp. 12740-12741, 1997.
[detailed record] [bibtex]
W.M. Kistler, W. Gerstner and J.L. van Hemmen, Reduction of Hodgkin-Huxley equations to a single-variable threshold model, Neural Comput., Vol. 9, Nr. 5, pp. 1015-1045, 1997.
[detailed record] [bibtex]
U. Fuentes, R. Ritz, W. Gerstner and J.L. van Hemmen, Vertical Signal Flow and Oscillations in a 3-Layer Model of the Cortex, J. Comput. Neurosci., Vol. 3, Nr. 2, pp. 125-136, 1996.
[detailed record] [bibtex]
W. Gerstner, Rapid phase locking in systems of pulse-coupled oscillators with delays, Phys. Rev. Lett., Vol. 76, Nr. 10, pp. 1755-1758, 1996.
[detailed record] [bibtex]
W. Gerstner, R. Kempter, J.L. van Hemmen and H. Wagner, A neuronal learning rule for sub-millisecond temporal coding, Nature, Vol. 383, Nr. 6595, pp. 76-78, 1996.
[detailed record] [bibtex]
W. Gerstner, J.L. van Hemmen and J.D. Cowan, What matters in neuronal locking?, Neural Comput., Vol. 8, Nr. 8, pp. 1653-1676, 1996.
[detailed record] [bibtex]
A. Schiegg, W. Gerstner, R. Ritz and J.L. van Hemmen, Intracellular Ca2+ stores can account for the time course of LTP induction: a model of Ca2+ dynamics in dendritic spines, Journal of Neurophysiology, Vol. 74, Nr. 3, pp. 1046-1055, 1995.
[detailed record] [bibtex]
C. Fohlmeister, W. Gerstner, R. Ritz and J.L.V. Hemmen, Spontaneous Excitations in the Visual Cortex: Stripes, Spirals, Rings, and Collective Bursts, Neural Computation, Vol. 7, Nr. 5, pp. 905-914, 1995.
[detailed record] [bibtex]
W. Gerstner, Time Structure of the Activity in Neural Network Models, Phys. Rev. E, Vol. 51, Nr. 1, pp. 738-758, 1995.
[detailed record] [bibtex]
R. Ritz, W. Gerstner and J.L. van Hemmen, A biologically motivated and analytically soluble model of collective oscillations in the cortex: II.~Application to binding and pattern segmentation, Biol. Cybern., Vol. 71, pp. 349-358, 1994.
[detailed record] [bibtex]
S. Wimbauer, W. Gerstner and J.L. van Hemmen, Emergence of spatio-temporal receptive fields and its application to motion detection, Biol. Cybern., Vol. 72, Nr. 1, pp. 81-92, 1994.
[detailed record] [bibtex]
W. Gerstner, R. Ritz and J.L. van Hemmen, A biologically motivated and analytically soluble model of collective oscillations in the cortex: I. Theory of weak locking, Biol. Cybern., Vol. 68, Nr. 4, pp. 363--374, 1993.
[detailed record] [bibtex]
W. Gerstner, R. Ritz and J.L. Hemmen, Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns, Biological Cybernetics, Vol. 69, Nr. 5-6, pp. 503-515, 1993.
[detailed record] [bibtex]
W. Gerstner and J.L. van Hemmen, Coherence and incoherence in a globally coupled ensemble of pulse emitting units, Phys. Rev. Lett., Vol. 71, Nr. 3, pp. 312--315, 1993.
[detailed record] [bibtex]
W. Gerstner and J. Van Hemmen, Associative memory in a network of ‘spiking’ neurons, Network: Computation in Neural Systems, Vol. 3, Nr. 2, pp. 139-164, 1992.
[detailed record] [bibtex]
D. Jimenez Rezende, D. Wierstra and W. Gerstner, Variational Learning for Recurrent Spiking Networks, 2011.
[detailed record] [bibtex]
A.H. Salavati, K.R. Kumar, A. Shokrollahi and W. Gerstner, Neural Pre-coding Increases the Pattern Retrieval Capacity of Hopfield and Bidirectional Associative Memories, 2011.
[detailed record] [bibtex]
D. Jimenez Rezende, N. Evans, O. Blanke and W. Gerstner, A Bayesian model for a fully automated, virtual reality-based Rubber Hand Illusion, Perception, Vol. 39, pp. 142-142, 2010.
[detailed record] [bibtex]
T. Glasmachers, T. Schaul, S. Yi, D. Wierstra and J. Schmidhuber, Exponential Natural Evolution Strategies, Proceedings of the 12th annual conference on Genetic and evolutionary computation, pp. 393-400, 2010.
[detailed record] [bibtex]
J. Lafferty, C.K.I. Williams, J. Shawe-Taylor, R.S. Zemel, A. Culotta, F. Gerhard and W. Gerstner, Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models, Advances in Neural Information Processing Systems, Vol. 23, 2010.
[detailed record] [bibtex]
S. Mensi, R. Naud, T.K. Becker and W. Gerstner, Complexity and performance in simple neuron models, , 2010.
[detailed record] [bibtex]
Y. Bengio, D. Schuurmans, j. Lafferty, C.K.I. Williams, A. Culotta, H. Sprekeler, G. Hennequin and W. Gerstner, Code-specific policy gradient rules for spiking neurons, Advances in Neural Information Processing Systems, Vol. 22, pp. 1741-1749, 2009.
[detailed record] [bibtex]
R. Naud, B. Bathellier and W. Gerstner, Spike-timing prediction in a neuron model with active dendrites, , 2009.
[detailed record] [bibtex]
N. Marcille, J. Rüter, M.H. Herzog and W. Gerstner, Modelling feature-integration in human vision with drift diffusion models, FENS Abstr., Vol. 4, pp. 220.9, 2008.
[detailed record] [bibtex]
R. Naud, T. Berger, L. Badel, A. Roth and W. Gerstner, Quantitative single-neuron modeling: competition 2008, , 2008.
[detailed record] [bibtex]
C. Clopath, A. Longtin, W. Gerstner and J.C. Platt and D. Koller and Y. Singer and S. Roweis, An online Hebbian learning rule that performs Independent Component Analysis, Advances in Neural Information Processing Systems 20, pp. 321-328, 2008.
[detailed record] [bibtex]
R. Jolivet, A. Rauch, H.R. Lüscher and W. Gerstner, Integrate-and-Fire models with adaptation are good enough, Advances in Neural Information Processing Systems 18, pp. 595-602, 2006.
[detailed record] [bibtex]
J.P. Pfister and W. Gerstner, Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects, Advances in Neural Information Processing Systems 18, pp. 1083--1090, 2006.
[detailed record] [bibtex]
W. Duch, T. Strösslin, R. Chavarriaga, D. Sheynikhovich and W. Gerstner, Modelling Path Integrator Recalibration Using Hippocampal Place cells, , Vol. 3696, pp. Chapter: p. 51, 2005.
[detailed record] [bibtex]
D. Sheynikhovich, R. Chavarriaga, T. Strösslin and W. Gerstner, Spatial Representation and Navigation in a Bio-inspired Robot, Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, pp. 245-264, 2005.
[detailed record] [bibtex]
T. Toyoizumi, J.-P. Pfister, K. Aihara and W. Gerstner, Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model, Advances in Neural Information Processing Systems 17, pp. 1409-1416, 2005.
[detailed record] [bibtex]
J.-P. Pfister, D. Barber and W. Gerstner, Optimal Hebbian Learning: a Probabilistic Point of View, ICANN/ICONIP, 2003.
[detailed record] [bibtex]
R. Jolivet, T.J. Lewis and W. Gerstner, The Spike Response Model: A Framework to Predict Neuronal Spike Trains, Proceedings of the Joint International Conference ICANN/ICONIP 2003, pp. 846-853, 2003.
[detailed record] [bibtex]
J.d.R. Mill\'an, F. Renkens, o.J. Mouri\~n and W. Gerstner, Non-Invasive Brain-Actuated Control of a Mobile Robot, Proceedings of the 18th International Joint Conference on Artificial Intelligence, pp. 1121--1126, 2003.
[detailed record] [bibtex]
A. Arleo and W. Gerstner, Hippocampal spatial model for state space representation in robotic reinforcement learning, Proceedings of the fifth European Workshop on Reinforcement learning, pp. 1-3, 2001.
[detailed record] [bibtex]
A. Arleo and W. Gerstner, A vision-driven model of hippocampal place cells and temporally asymmetric LTP-induction for action learning, ICANN'99 Artificial Neural Networks, pp. 132-137, 1999.
[detailed record] [bibtex]
W. Gerstner, Rapid signal transmission by a population of spiking neurons, ICANN'99 Artificial Neural Networks, Vol. 470, pp. 7-12, 1999.
[detailed record] [bibtex]
A. Herrmann and W. Gerstner, Understanding the PSTH response to synaptic input, ICANN'99 Artificial Neural Networks, Vol. 470, pp. 1012-1017, 1999.
[detailed record] [bibtex]
R. Kempter, W. Gerstner and J.L. van Hemmen, Spike-Based Compared to Rate-Based Hebbian Learning, Advances in Neural Information Processing Systems 11, pp. 125-131, 1999.
[detailed record] [bibtex]
M. Spiridon, C. Chow and W. Gerstner, Frequency spectrum of coupled stochastic neurons with refractoriness, ICANN'98, pp. 337-342, 1998.
[detailed record] [bibtex]
W. Gerstner, R. Kempter, J.L. van Hemmen and H. Wagner, A developmental learning rule for coincidence tuning in the barn owl auditory system, Computational Neuroscience: trends in research 1997, pp. 665-669, 1997.
[detailed record] [bibtex]
R. Kempter, W. Gerstner, J.L. van Hemmen and H. Wagner, Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway, Advances in Neural Information Processing Systems 8, pp. 124-130, 1996.
[detailed record] [bibtex]
W. Gerstner, A. Schiegg, R. Ritz and J.L. van Hemmen, Long term potentiation in dendritic spines: a model study, Goettingen Neurobiology Report 1995; Proceedings of the 23rd Goettingen Neurobiology Conference 1995, Vol. 1, pp. 121, 1995.
[detailed record] [bibtex]
S. Wimbauer, W. Gerstner and J.L. van Hemmen, A developmental model of spatio-temporal receptive field properties for simple cells in the visual cortex, ICANN'95, Vol. xx, 1995.
[detailed record] [bibtex]
W. Gerstner and J.L. van Hemmen, Coding and information processing in neural networks, Models of neural networks II, pp. 1-93, 1994.
[detailed record] [bibtex]
W. Gerstner and J.L. van Hemmen, How to describe neural activity -- spikes, rates, or assemblies?, Advances in Neural Information Processing Systems 6, pp. 463-470, 1994.
[detailed record] [bibtex]
R. Ritz, W. Gerstner and J.L. van Hemmen, Associative binding and segregation in a network of spiking neurons, Models of neural networks II, pp. 175-219, 1994.
[detailed record] [bibtex]
S. Wimbauer, W. Gerstner and J.L. van Hemmen, Motion detection in a Linsker network, ICANN'94, Proceedings of the International Conference on Artificial Neural Networks, Sorrento, Italy, 26-19 May 1994, pp. 1001-1004, 1994.
[detailed record] [bibtex]
W. Gerstner and J.L. van Hemmen, Spikes or Rates? -- Stationary, oscillatory, and spatio-temporal states in an associative network of spiking neurons, ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, Amsterdam, 13-16 September 1993, pp. 633-638, 1993.
[detailed record] [bibtex]
W. Gerstner, Associative memory in a network of 'biological' neurons, Advances in Neural Information Processing Systems 3, pp. 84-90, 1991.
[detailed record] [bibtex]
J. Mayor and W. Gerstner, Online processing of multiple inputs in a sparsely-connected recurrent neural network, 13. ICANN / 10. ICONIP 2003.
[detailed record] [bibtex]
C. Tomm and W. Gerstner, Analysing Neuronal Network Architectures, Ph.D. Thesis, 2012.
[detailed record] [bibtex]
R. Naud and W. Gerstner, The Dynamics of Adapting Neurons, Ph.D. Thesis, 2011.
[detailed record] [bibtex]
N. Marcille and W. Gerstner, Models of Evidence Integration in Rapid Decision Making Processes, Ph.D. Thesis, 2011.
[detailed record] [bibtex]
C. Clopath and W. Gerstner, Synaptic plasticity across different time scales and its functional implications, Ph.D. Thesis, 2009.
[detailed record] [bibtex]
G. Luksys, M.d.C. Sandi Perez and W. Gerstner, Stress, individual differences, and norepinephrine in reinforcement learning-based prediction of mouse behavior in conditioning and spatial learning, Ph.D. Thesis, 2009.
[detailed record] [bibtex]
L. Badel and W. Gerstner, Interpretation of neuronal response properties with simplified neuron models, Ph.D. Thesis, 2008.
[detailed record] [bibtex]
D. Sheynikhovich and W. Gerstner, Spatial navigation in geometric mazes, Ph.D. Thesis, 2007.
[detailed record] [bibtex]
B. Bathellier, W. Gerstner and A. Carleton, Analysis of information processing in the olfactory bulb by in vivo experiments and theoretical modelling, Ph.D. Thesis, 2007.
[detailed record] [bibtex]
J.-P. Pfister and W. Gerstner, Theory of non-linear spike-time-dependent plasticity, Ph.D. Thesis, 2006.
[detailed record] [bibtex]
A.J. Ijspeert, J. Buchli, A. Selverston, M. Rabinovich, M. Hasler, W. Gerstner, A. Billard, H. Markram and D. Floreano, Dynamical principles for neuroscience and intelligent biomimetic devices, Lausanne : EPFL, 2006.
[detailed record] [bibtex]
W. Gerstner and W.K. Kistler, Spiking Neuron Models, Cambridge University Press, 2002.
[detailed record] [bibtex]
W. Gerstner, A. Germond, M. Hasler, J.-D. Nicoud, G. Goos, J. Hartmanis and J. Leeuwen van, Lecture Notes in Computer Science - Artificial Neural Networks - ICANN '97, Berlin : Springer-Verlag GmbH, 1997.
[detailed record] [bibtex]
W. Gerstner, Kodierung und Signalubertragung in Neuronalen Systemen: Assoziative Netzwerke mit stochastisch feuernden Neuronen, Harri--Deutsch Verlag, 1993.
[detailed record] [bibtex]
P.M. Dilorenzo, J.D. Victor, R. Naud and W. Gerstner, Can We Predict Every Spike?, in Spike Timing: Mechanisms and Function, CRC Press, 2012.
[detailed record] [bibtex]
W. Gerstner, A framework for spiking neuron models - the spike response model, in Handbook of Biological Physics, Elsevier, 2001.
[detailed record] [bibtex]
R. Kempter, W. Gerstner, J.L. van Hemmen and H. Wagner, The quality of Coincidence detection and ITD-tuning: a theoretical framework, in Psychophysics, Physiology and Models of Hearing, World Scientific, Singapore, 1999.
[detailed record] [bibtex]
W. Gerstner, Spiking Neurons, in Pulsed Neural Networks, MIT-Press, 1998.
[detailed record] [bibtex]
W. Gerstner, Populations of spiking neurons, in Pulsed Neural Networks, MIT-Press, 1998.
[detailed record] [bibtex]
W. Gerstner, R. Kempter and J.L. van Hemmen, Hebbian learning of Pulse timing in the Barn Owl auditory system, in Pulsed Neural Networks, MIT-Press, 1998.
[detailed record] [bibtex]
W. Gerstner, A framework for spiking model neurons: The spike response method, Technical Report, 1995.
[detailed record] [bibtex]
F. Gerhard, G. Pipa and W. Gerstner, Estimating small-world topology of neural networks from multi-electrode recordings, Presented at: USGEB Annual Meeting 2011, Zürich, Switzerland, January 27-28, 2011.
[detailed record] [bibtex]
F. Gerhard, G. Pipa and W. Gerstner, Estimation of small-world topology of cortical networks using Generalized Linear Models, Presented at: Goettingen Meeting of the German Neuroscience Society, Goettingen, Germany, March 23-27, 2011.
[detailed record] [bibtex]
R.H. Haslinger, F. Gerhard and G. Pipa, Statistical tests for neural population models - The multivariate time rescaling theorem, Presented at: 2010 Neuroscience Meeting: Society for Neuroscience, San Diego, CA, USA, November 13-17, 2010.
[detailed record] [bibtex]
F. Gerhard, R. Haslinger and G. Pipa, Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem, Presented at: Nineteenth Annual Computational Neuroscience Meeting: CNS*2010, San Antonio, Texas, USA, July 24-30, 2010.
[detailed record] [bibtex]
R. Naud, F. Gerhard, S. Mensi and W. Gerstner, Improved Similarity Measures for Small Sets of Spike Trains, Presented at: Bernstein Conference on Computational Neuroscience, Berlin, Germany, September 27 - October 1, 2010 .
[detailed record] [bibtex]
A.M. Clarke, H. Sprekeler, W. Gerstner and M. Herzog, Perceptual Learning, Roving and the Unsupervised Bias, 2011.
[detailed record] [bibtex]
N. Marcille, J. Rüter, M.H. Herzog and W. Gerstner, A two stage model for perceptual decision making, 2010.
[detailed record] [bibtex]
F. Gerhard, G. Pipa and W. Gerstner, Estimating small-world topology of neural networks from multi-electrode recordings, 2010.
[detailed record] [bibtex]
T. Strösslin and W. Gerstner, Reinforcement Learning in Continuous State and Action Space, 2003.
[detailed record] [bibtex]
L.F. Abbott and W. Gerstner, Homeostasis and Learning through Spike-Timing Dependent Plasticity, 2003.
[detailed record] [bibtex]