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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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Bibliografske podrobnosti
izdano v:Front Comput Neurosci
Main Authors: Kunert-Graf, James M., Shlizerman, Eli, Walker, Andrew, Kutz, J. Nathan
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2017
Teme:
Online dostop: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
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