Modeling the Evolution of Biological Neural Networks Based on Caenorhabditis elegans Connectomes across Development

Knowledge of the structural properties of biological neural networks can help in understanding how particular responses and actions are generated. Recently, Witvliet et al. published the connectomes of eight isogenic Caenorhabditis elegans hermaphrodites at different postembryonic ages, from birth t...

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Detalles Bibliográficos
Autores principales: Zhao, Hongfei, Shi, Zhiguo, Gong, Zhefeng, He, Shibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857992/
https://www.ncbi.nlm.nih.gov/pubmed/36673192
http://dx.doi.org/10.3390/e25010051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857992/
https://www.ncbi.nlm.nih.gov/pubmed/36673192
http://dx.doi.org/10.3390/e25010051

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