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

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Bibliographic Details
Title: Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.
Authors: Ladd A; Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States., Kim KG; Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States., Balewski J; NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., 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., Ben-Shalom R; Neurology Department, MIND Institute, University of California, Davis, Sacramento, CA, United States.
Source: Frontiers in neuroinformatics [Front Neuroinform] 2022 Jun 17; Vol. 16, pp. 882552. Date of Electronic Publication: 2022 Jun 17 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477957 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5196 (Print) Linking ISSN: 16625196 NLM ISO Abbreviation: Front Neuroinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1662-5196
DOI:10.3389/fninf.2022.882552