Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses-Reference-Cited by-同舟云学术

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Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses

Published:2012-11-15 Issue:11 Volume:81 Page:114007
ISSN:0031-9015
Container-title:Journal of the Physical Society of Japan
language:en
Short-container-title:J. Phys. Soc. Jpn.

Author:

Katori Yuichi¹²,Igarashi Yasuhiko³,Okada Masato³⁴,Aihara Kazuyuki²

Affiliation:

1. FIRST, Aihara Innovative Mathematical Modelling Project, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan

2. Institute of Industrial Science, The University of Tokyo, Meguro, Tokyo 153-8505, Japan

3. Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan

4. RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan

Publisher

Physical Society of Japan

Subject

General Physics and Astronomy

Link

http://journals.jps.jp/doi/pdf/10.1143/JPSJ.81.114007

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1. Mean-square exponential input-to-state stability for stochastic neutral-type quaternion-valued neural networks via Itô’s formula of quaternion version;Chaos, Solitons & Fractals;2024-01

2. Bifurcation Analysis on Phase-Amplitude Cross-Frequency Coupling in Neural Networks with Dynamic Synapses;Frontiers in Computational Neuroscience;2017-03-30

3. Enhanced Memory Association on Neural Network with Dynamic Synapses;Advances in Cognitive Neurodynamics (V);2016

4. Associative Memory Network with Dynamic Synapses;Advances in Cognitive Neurodynamics (IV);2014-12-01

5. Stability analysis of associative memory network composed of stochastic neurons and dynamic synapses;Frontiers in Computational Neuroscience;2013

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