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Dynamical mean-field equations for a neural network with spike timing dependent plasticity - MaRDI portal

Dynamical mean-field equations for a neural network with spike timing dependent plasticity (Q1937047)

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scientific article; zbMATH DE number 6135519
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Dynamical mean-field equations for a neural network with spike timing dependent plasticity
scientific article; zbMATH DE number 6135519

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    Dynamical mean-field equations for a neural network with spike timing dependent plasticity (English)
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    11 February 2013
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    The considered model consists of \(N\) coupled binary neurons whose synaptic change is done via a temporal asymmetric update rule and outputs depend on some external Gaussian noise. After strengths and outputs have been computed, one investigates network behavior using dynamic mean field theory approach. One computes a site independent functional and translate it back to a single neuron equation for the mean field, depending only on time. This should be the main result of the paper. Some numerical simulations are performed.
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    neural network
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    spike time dependent plasticity
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    dynamic mean field
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