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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...

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Autores principales: Katori, Yuichi, Otsubo, Yosuke, Okada, Masato, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578283/
https://www.ncbi.nlm.nih.gov/pubmed/23440567
http://dx.doi.org/10.3389/fncom.2013.00006
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author Katori, Yuichi
Otsubo, Yosuke
Okada, Masato
Aihara, Kazuyuki
author_facet Katori, Yuichi
Otsubo, Yosuke
Okada, Masato
Aihara, Kazuyuki
author_sort Katori, Yuichi
collection PubMed
description 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-term depression or facilitation mechanism. We derive a macroscopic mean field model that captures the overall dynamical properties of the stochastic model. We analyze the stability and bifurcation structure of the mean field model, and show the dependence of the memory retrieval performance on the noise intensity and parameters that determine the properties of the dynamic synapses, i.e., time constants for depressing and facilitating processes. The associative memory network exhibits a variety of dynamical states, including the memory and pseudo-memory states, as well as oscillatory states among memory patterns. This study provides comprehensive insight into the dynamical properties of the associative memory network with dynamic synapses.
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spelling pubmed-35782832013-02-22 Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses Katori, Yuichi Otsubo, Yosuke Okada, Masato Aihara, Kazuyuki Front Comput Neurosci Neuroscience 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-term depression or facilitation mechanism. We derive a macroscopic mean field model that captures the overall dynamical properties of the stochastic model. We analyze the stability and bifurcation structure of the mean field model, and show the dependence of the memory retrieval performance on the noise intensity and parameters that determine the properties of the dynamic synapses, i.e., time constants for depressing and facilitating processes. The associative memory network exhibits a variety of dynamical states, including the memory and pseudo-memory states, as well as oscillatory states among memory patterns. This study provides comprehensive insight into the dynamical properties of the associative memory network with dynamic synapses. Frontiers Media S.A. 2013-02-21 /pmc/articles/PMC3578283/ /pubmed/23440567 http://dx.doi.org/10.3389/fncom.2013.00006 Text en Copyright © 2013 Katori, Otsubo, Okada and Aihara. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Katori, Yuichi
Otsubo, Yosuke
Okada, Masato
Aihara, Kazuyuki
Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title_full Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title_fullStr Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title_full_unstemmed Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title_short Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
title_sort stability analysis of associative memory network composed of stochastic neurons and dynamic synapses
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3578283/
https://www.ncbi.nlm.nih.gov/pubmed/23440567
http://dx.doi.org/10.3389/fncom.2013.00006
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