Multistability and Long-Timescale Transients Encoded by Network Structure in a Model of C. elegans Connectome Dynamics

The neural dynamics of the nematode Caenorhabditis elegans are experimentally low-dimensional and may be understood as long-timescale transitions between multiple low-dimensional attractors. Previous modeling work has found that dynamic models of the worm's full neuronal network are capable of...

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Detalles Bibliográficos
Autores principales: Kunert-Graf, James M., Shlizerman, Eli, Walker, Andrew, Kutz, J. Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468412/
https://www.ncbi.nlm.nih.gov/pubmed/28659783
http://dx.doi.org/10.3389/fncom.2017.00053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468412/
https://www.ncbi.nlm.nih.gov/pubmed/28659783
http://dx.doi.org/10.3389/fncom.2017.00053

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