| 2008 |
|---|
| 52 | EE | Abigail Morrison,
Markus Diesmann,
Wulfram Gerstner:
Phenomenological models of synaptic plasticity based on spike timing.
Biological Cybernetics 98(6): 459-478 (2008) |
| 2007 |
|---|
| 51 | EE | 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) |
| 50 | EE | Michael H. Herzog,
Michael Esfeld,
Wulfram Gerstner:
Consciousness & the small network argument.
Neural Networks 20(9): 1054-1056 (2007) |
| 49 | EE | 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) |
| 2006 |
|---|
| 48 | EE | 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 |
| 47 | EE | 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) |
| 46 | EE | 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) |
| 45 | EE | Denis Sheynikhovich,
Ricardo Chavarriaga,
Thomas Strösslin,
Wulfram Gerstner:
Adaptive sensory processing for efficient place coding.
Neurocomputing 69(10-12): 1211-1214 (2006) |
| 2005 |
|---|
| 44 | EE | 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 |
| 43 | EE | Thomas Strösslin,
Ricardo Chavarriaga,
Denis Sheynikhovich,
Wulfram Gerstner:
Modelling Path Integrator Recalibration Using Hippocampal Place Cells.
ICANN (1) 2005: 51-56 |
| 42 | EE | Jean-Pascal Pfister,
Wulfram Gerstner:
Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects.
NIPS 2005 |
| 41 | EE | Renaud Jolivet,
Alexander Rauch,
Hans-Rudolf Lüscher,
Wulfram Gerstner:
Integrate-and-Fire models with adaptation are good enough.
NIPS 2005 |
| 40 | EE | 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) |
| 39 | EE | 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) |
| 38 | EE | 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) |
| 37 | EE | 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) |
| 2004 |
|---|
| 36 | EE | Taro Toyoizumi,
Jean-Pascal Pfister,
Kazuyuki Aihara,
Wulfram Gerstner:
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model.
NIPS 2004 |
| 35 | EE | José del R. Millán,
Frédéric Renkens,
Josep Mouriño,
Wulfram Gerstner:
Brain-actuated interaction.
Artif. Intell. 159(1-2): 241-259 (2004) |
| 2003 |
|---|
| 34 | EE | Julien Mayor,
Wulfram Gerstner:
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network.
ICANN 2003: 839-845 |
| 33 | EE | Renaud Jolivet,
Timothy J. Lewis,
Wulfram Gerstner:
The Spike Response Model: A Framework to Predict Neuronal Spike Trains.
ICANN 2003: 846-853 |
| 32 | EE | Jean-Pascal Pfister,
David Barber,
Wulfram Gerstner:
Optimal Hebbian Learning: A Probabilistic Point of View.
ICANN 2003: 92-98 |
| 31 | | José del R. Millán,
Frédéric Renkens,
Josep Mouriño,
Wulfram Gerstner:
Non-Invasive Brain-Actuated Control of a Mobile Robot.
IJCAI 2003: 1121-1126 |
| 2002 |
|---|
| 30 | EE | Pierre-Edouard Sottas,
Wulfram Gerstner:
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks.
ICANN 2002: 1144-1149 |
| 29 | EE | Silvio Borer,
Wulfram Gerstner:
Support Vector Representation of Multi-categorical Data.
ICANN 2002: 733-738 |
| 28 | EE | Thomas Strösslin,
Christophe Krebser,
Angelo Arleo,
Wulfram Gerstner:
Combining Multimodal Sensory Input for Spatial Learning.
ICANN 2002: 87-92 |
| 27 | EE | Fabrizio Smeraldi,
Josef Bigün,
Wulfram Gerstner:
Support Vector Features and the Role of Dimensionality in Face Authentication.
SVM 2002: 249-259 |
| 26 | EE | Wulfram Gerstner,
Werner M. Kistler:
Mathematical formulations of Hebbian learning.
Biological Cybernetics 87(5-6): 404-415 (2002) |
| 25 | | 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) |
| 24 | EE | Werner M. Kistler,
Wulfram Gerstner:
Stable Propagation of Activity Pulses in Populations of Spiking Neurons.
Neural Computation 14(5): 987-997 (2002) |
| 2001 |
|---|
| 23 | | 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) |
| 22 | EE | 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) |
| 21 | EE | Wulfram Gerstner:
Coding properties of spiking neurons: reverse and cross-correlations.
Neural Networks 14(6-7): 599-610 (2001) |
| 20 | EE | Angelo Arleo,
Wulfram Gerstner:
Spatial orientation in navigating agents: Modeling head-direction cells.
Neurocomputing 38-40: 1059-1065 (2001) |
| 19 | EE | 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) |
| 2000 |
|---|
| 18 | EE | 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 |
| 17 | | 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 |
| 16 | | Wulfram Gerstner:
Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking.
Neural Computation 12(1): 43-89 (2000) |
| 15 | | Hans E. Plesser,
Wulfram Gerstner:
Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates.
Neural Computation 12(2): 367-384 (2000) |
| 14 | EE | Alix Herrmann,
Wulfram Gerstner:
Effect of noise on neuron transient response.
Neurocomputing 32-33: 147-154 (2000) |
| 13 | EE | Hans E. Plesser,
Wulfram Gerstner:
Escape rate models for noisy integrate-and-free neurons.
Neurocomputing 32-33: 219-224 (2000) |
| 12 | EE | 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) |
| 1999 |
|---|
| 11 | | Mona Spiridon,
Wulfram Gerstner:
Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type.
IWANN (1) 1999: 268-276 |
| 1998 |
|---|
| 10 | EE | Richard Kempter,
Wulfram Gerstner,
J. Leo van Hemmen:
Spike-Based Compared to Rate-Based Hebbian Learning.
NIPS 1998: 125-131 |
| 9 | | 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) |
| 1997 |
|---|
| 8 | | Wulfram Gerstner,
Alain Germond,
Martin Hasler,
Jean-Daniel Nicoud:
Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings
Springer 1997 |
| 7 | | 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) |
| 6 | EE | 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) |
| 1995 |
|---|
| 5 | EE | 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 |
| 4 | EE | 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) |
| 1993 |
|---|
| 3 | EE | Wulfram Gerstner,
J. Leo van Hemmen:
How to Describe Neuronal Activity: Spikes, Rates, or Assemblies?
NIPS 1993: 463-470 |
| 1990 |
|---|
| 2 | | 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 |
| 1 | EE | Wulfram Gerstner:
Associative Memory in a Network of `Biological' Neurons.
NIPS 1990: 84-90 |
