Caricamento...

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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Front Comput Neurosci
Autori principali: Kunert-Graf, James M., Shlizerman, Eli, Walker, Andrew, Kutz, J. Nathan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2017
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5468412/
https://ncbi.nlm.nih.gov/pubmed/28659783
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00053
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !