Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder

Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder

In this paper, we study the statistical properties of the stationary firing-rate states of a neural network model with quenched disorder. The model has arbitrary size, discrete-time evolution equations and binary firing rates, while the topology and the strength of the synaptic connections are rando...

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Bibliographic Details
Main Authors: Diego Fasoli, Stefano Panzeri
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Entropy
Subjects:
stationary states
multistability
binary neural networks
quenched disorder
bifurcations
extreme value theory
order statistics
matrix permanent
Fisher-Tippett-Gnedenko theorem
Gumbel distribution
Online Access:https://www.mdpi.com/1099-4300/21/7/630

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https://www.mdpi.com/1099-4300/21/7/630

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