Publication

Prospective Coding by Spiking Neurons

Related publications (148)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Prospective Coding by Spiking Neurons

Graph Chatbot

Chat with Graph Search

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

Spiking Neural Network Device

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing

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

A framework for spiking neuron models - the spike response model

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

Synchrony generation in recurrent networks with frequency-dependent synapses

Stable Propagation of Activity Pulses in Populations of Spiking Neurons

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

Synchrony generation in recurrent networks with frequency-dependent synapses

An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing

A framework for spiking neuron models - the spike response model

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

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

Spiking Neural Network Device