Effects of topologies on signal propagation in feedforward networks-Reference-Cited by-同舟云学术

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Effects of topologies on signal propagation in feedforward networks

Published:2018-01 Issue:1 Volume:28 Page:013117
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Zhao Jia¹^ORCID,Qin Ying-Mei²,Che Yan-Qiu²

Affiliation:

1. Key Laboratory of Cognition and Personality (Ministry of Education) and Faculty of Psychology, Southwest University, Chongqing 400715, China

2. Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education, Tianjin 300222, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin City

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4999996

Reference33 articles.

1. Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding

2. Stable propagation of synchronous spiking in cortical neural networks

3. Synchronization for time-varying complex dynamical networks with different-dimensional nodes and non-dissipative coupling

4. Propagation of spiking regularity and double coherence resonance in feedforward networks

5. Double inverse stochastic resonance with dynamic synapses

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1. Connectome-based prediction of functional impairment in experimental stroke models;2023-05-05

2. Influence of temperature and noise on the propagation of subthreshold signal in feedforward neural network;Chaos, Solitons & Fractals;2022-11

3. Reaction-diffusion models in weighted and directed connectomes;PLOS Computational Biology;2022-10-28

4. Noise suppression ability and its mechanism analysis of scale-free spiking neural network under white Gaussian noise;PLOS ONE;2020-12-31

5. Encoding specificity of scale-free spiking neural network under different external stimulations;Neurocomputing;2020-12

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