Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions

Investigating the dynamics and function of large-scale spiking neuronal networks with realistic numbers of synapses is made possible today by state-of-the-art simulation code that scales to the largest contemporary supercomputers. However, simulations that involve electrical interactions, also calle...

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Bibliographic Details
Main Authors: Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Neuroinformatics
Subjects:
gap junctions
electrical synapses
spiking neuronal network
large-scale simulation
parallel computing
computational neuroscience
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2020.00012/full

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https://www.frontiersin.org/article/10.3389/fninf.2020.00012/full

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