Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics

An, L, Tang, Y, Wang, D et al. (5 more authors) (2020) Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers in Computational Neuroscience, 14. 26. ISSN 1662-5188

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Item Type: Article
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© 2020 An, Tang, Wang, Jia, Pei, Wang, Yu and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords: neural dynamic modeling, stability analysis, rebound firing, synaptic dynamics, dynamical system
Dates:
  • Published: 21 April 2020
  • Published (online): 21 April 2020
  • Accepted: 18 March 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Jul 2021 10:34
Last Modified: 22 Jul 2021 10:34
Status: Published
Publisher: Frontiers Media
Identification Number: 10.3389/fncom.2020.00026
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