Computational geometry for modeling neural populations: From visualization to simulation

de Kamps, M orcid.org/0000-0001-7162-4425, Lepperød, M and Lai, YM (2019) Computational geometry for modeling neural populations: From visualization to simulation. PLoS Computational Biology, 15 (3). e1006729. ISSN 1553-734X

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Item Type: Article
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© 2019 de Kamps et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Neurons; Action potentials; Monte Carlo method; Membrane potential; Synapses; Population density; Simulation and modeling; Dynamical systems
Dates:
  • Accepted: 26 November 2018
  • Published (online): 4 March 2019
  • Published: 4 March 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
GA 720270
EU - European Union
785907
Depositing User: Symplectic Publications
Date Deposited: 27 Nov 2018 15:03
Last Modified: 25 Jun 2023 21:37
Status: Published
Publisher: Public Library of Science
Identification Number: 10.1371/journal.pcbi.1006729
Open Archives Initiative ID (OAI ID):

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