Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses

Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses

We investigate the dynamical properties of an associative memory network consisting of stochastic neurons and dynamic synapses that show short-term depression and facilitation. In the stochastic neuron model used in this study, the efficacy of the synaptic transmission changes according to the short-t...

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Bibliographic Details
Main Authors: Yuichi eKatori, Yosuke eOtsubo, Masato eOkada, Kazuyuki eAihara
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
Neural Network
short-term plasticity
bifurcation analysis
Dynamic synapse
associative memory network
mean field model
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00006/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00006/full

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