Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.

biophysical neuron model electrophysiology evolutionary algorithms high performance computing non-convex optimization strong scaling weak scaling

Journal

Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957

Informations de publication

Date de publication:
2022
Historique:
received: 23 02 2022
accepted: 18 05 2022
entrez: 5 7 2022
pubmed: 6 7 2022
medline: 6 7 2022
Statut: epublish

Résumé

Single neuron models are fundamental for computational modeling of the brain's neuronal networks, and understanding how ion channel dynamics mediate neural function. A challenge in defining such models is determining biophysically realistic channel distributions. Here, we present an efficient, highly parallel evolutionary algorithm for developing such models, named

Identifiants

pubmed: 35784184
doi: 10.3389/fninf.2022.882552
pmc: PMC9248031
doi:

Types de publication

Journal Article

Langues

eng

Pagination

882552

Informations de copyright

Copyright © 2022 Ladd, Kim, Balewski, Bouchard and Ben-Shalom.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Alexander Ladd (A)

Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States.

Kyung Geun Kim (KG)

Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States.

Jan Balewski (J)

NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Kristofer Bouchard (K)

Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA, United States.
Scientific Data Division and Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Roy Ben-Shalom (R)

Neurology Department, MIND Institute, University of California, Davis, Sacramento, CA, United States.

Classifications MeSH