Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models

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,...

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Detalles Bibliográficos
Autores principales: Ladd, Alexander, Kim, Kyung Geun, Balewski, Jan, Bouchard, Kristofer, Ben-Shalom, Roy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248031/
https://www.ncbi.nlm.nih.gov/pubmed/35784184
http://dx.doi.org/10.3389/fninf.2022.882552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248031/
https://www.ncbi.nlm.nih.gov/pubmed/35784184
http://dx.doi.org/10.3389/fninf.2022.882552

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