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Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission

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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

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission

Graph Chatbot

Chattez avec Graph Search

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

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: I. General theory and application to the integrate-and-fire neuron

Synchrony generation in recurrent networks with frequency-dependent synapses

Population dynamics of spiking neurons: fast transients, asynchronous states and locking

Hebbian learning and spiking neurons

Mechanisms underlying kainate receptor-mediated disinhibition in the hippocampus

Differential signaling via the same axon of neocortical pyramidal neurons

Neural networks with dynamic synapses

Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses

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

Population dynamics of spiking neurons: fast transients, asynchronous states and locking

Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses

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

Synchrony generation in recurrent networks with frequency-dependent synapses

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

Neural networks with dynamic synapses

Mechanisms underlying kainate receptor-mediated disinhibition in the hippocampus

Differential signaling via the same axon of neocortical pyramidal neurons

Hebbian learning and spiking neurons