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Wulfram Gerstner

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Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

Wulfram Gerstner

We study how neuronal connections in a population of spiking neurons affect the accuracy of stimulus estimation. Neurons in our model code for a one-dimensional orientation variable

\phi

. Connectivity between two neurons depends on the absolute differenc ...

2001

Wulfram Gerstner

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Piecewise linear differential equations and integrate-and-fire neurons : insights from two-dimensional membrane models

The Spike Response Model: A Framework to Predict Neuronal Spike Trains

Non-Invasive Brain-Actuated Control of a Mobile Robot

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

Mathematical Formulations of Hebbian Learning

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

Coding properties of spiking neurons: reverse- and cross-correlations

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

Noise and the PSTH response to current transients II. Integrate-and-fire model with slow recovery and application to motoneuron data

Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron

Piecewise linear differential equations and integrate-and-fire neurons : insights from two-dimensional membrane models

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

The Spike Response Model: A Framework to Predict Neuronal Spike Trains

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

Mathematical Formulations of Hebbian Learning

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons

Non-Invasive Brain-Actuated Control of a Mobile Robot

Coding properties of spiking neurons: reverse- and cross-correlations

Noise and the PSTH response to current transients II. Integrate-and-fire model with slow recovery and application to motoneuron data

Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron