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Wulfram Gerstner

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Related publications (129)

An online Hebbian learning rule that performs Independent Component Analysis

Wulfram Gerstner, Claudia Clopath, André Longtin

Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but only higher moments of its amplitude distribution. Moreover, they require some ...

MIT Press2008

A benchmark test for a quantitative assessment of simple neuron models

Wulfram Gerstner, Renaud Jolivet, Richard Naud

Several methods and algorithms have recently been proposed that allow for the systematic evaluation of simple neuron models from intracellular or extracellular recordings. Models built in this way generate good quantitative predictions of the future activi ...

Elsevier2008

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces

Wulfram Gerstner, Laurent Badel, Carl Petersen, Sandrine Lefort, Romain Brette

Neuronal response properties are typically probed by intracellular measurements of current-voltage (I-V) relationships during application of current or voltage steps. Here we demonstrate the measurement of a novel I-V curve measured while the neuron exhibi ...

American Physiological Society2008

Modeling spatial and temporal aspects of visual backward masking

Wulfram Gerstner, Michael Herzog, Gediminas Luksys

Visual backward masking is a versatile tool for understanding principles and limitations of visual information processing in the human brain. However, the mechanisms underlying masking are still poorly understood. In the current contribution, the authors s ...

American Psychological Association2008

Firing patterns in the adaptive exponential integrate-and-fire model

Wulfram Gerstner, Claudia Clopath, Nicolas Marcille, Richard Naud

For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-equation model: the adaptive exponential integrate-and-fire neuron. We show th ...

Springer Verlag2008

Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive

Wulfram Gerstner, Laurent Badel

A path-integral approach is developed for the analysis of spike-triggered-average quantities in neurons with voltage-gated subthreshold currents. Using a linearization procedure to reduce the models to the generalized integrate-and-fire form, analytical ex ...

2008

Modelling feature-integration in human vision with drift diffusion models

Wulfram Gerstner, Nicolas Marcille, Michael Herzog, Johannes Rüter

2008

Quantitative single-neuron modeling: competition 2008

Wulfram Gerstner, Laurent Badel, Thomas Berger, Richard Naud

How well are single-cell properties reproduced by the present-day neuronal models? Recently, several labs have approached this question by assessing the quality of the models with respect to spike timing prediction or characteristic features of the voltage ...

2008

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

Wulfram Gerstner, Jérémie Knüsel, Maria del Carmen Sandi Perez, Gediminas Luksys

Stress and genetic background regulate different aspects of behavioral learning through the action of stress hormones and neuromodulators. In reinforcement learning (RL) models, meta-parameters such as learning rate, future reward discount factor, and expl ...

2007

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments

Wulfram Gerstner, Claudia Clopath, Renaud Jolivet

An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protocol has been developed to extract the parameters of the aEIF model using an op ...

Elsevier2007

Consciousness & the Small Network Argument

Wulfram Gerstner, Michael Herzog

The last decade has experienced a vivid enthusiasm to unravel the mystery of consciousness believed to be one of the major puzzles of humankind. We share this enthusiasm. Still,we feel that current models are incomplete suffering from a problem that we cal ...

Elsevier2007

Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: Synaptic Memory and Weight Distribution

Wulfram Gerstner, Jean-Pascal Théodor Pfister, Taro Toyoizumi

We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (1) synapses adapt their weights so that neurons can effectively transmit information, (2) homeostatic processes stabilize the mean firing rate of the postsynaptic ne ...

Massachusetts Institute of Technology Press2007

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Wulfram Gerstner, Jean-Pascal Théodor Pfister, Taro Toyoizumi

In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes by gradient ascent the likelihood of postsynaptic firing at one or severa ...

Massachusetts Institute of Technology Press2006

Dependence of the spike-triggered average voltage on membrane response properties

Wulfram Gerstner, Laurent Badel

The spike-triggered average voltage (STV) is an experimentally measurable quantity that is determined by both the membrane response properties and the statistics of the synaptic drive. Here, the form of the STV is modelled for neurons with three distinct t ...

Elsevier2006

Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects

Wulfram Gerstner, Jean-Pascal Théodor Pfister

MIT Press Cambridge2006

From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness

Wulfram Gerstner

A neuron that is stimulated repeatedly by the same time-dependent stimulus exhibits slightly different spike timing at each trial. We compared the exact solution of the time-dependent firing rate for a stochastically spiking neuron model with refractorines ...

2006

Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noise

Wulfram Gerstner

Neurons in the central nervous system, and in the cortex in particular, are subject to a barrage of pulses from their presynaptic populations. These synaptic pulses are mediated by conductance changes and therefore lead to increases or decreases of the neu ...

American Institute of Physics2006

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing

Wulfram Gerstner, Taro Toyoizumi

In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or sever ...

2005

Competition between cue response and place response: A model of rat navigation behaviour

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

Different neural systems are involved in animal navigation depending on the type of task. Experimental studies support the idea that the hippocampus is necessary to learn a spatial representation required to navigate toward hidden goals (place response), w ...

Taylor & Francis2005

A computational model of parallel navigation systems in rodents

Wulfram Gerstner, Thomas Strösslin, Ricardo Andres Chavarriaga Lozano

Several studies in rats support the idea of multiple neural systems competing to select the best action for reaching a goal or food location. Locale navigation strategies, necessary for reaching invisible goals, seem to be mediated by the hippocampus and t ...

Humana Press2005

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