Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator

Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator

Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based units. We present a unified simulation framework that supports the combination of the two for multi-scale mode...

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Bibliographic Details
Main Authors: Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Neuroinformatics
Subjects:
rate models
spiking neural network simulator
stochastic (delay) differential equations
waveform relaxation
parallelization
supercomputing
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00034/full

Internet

http://journal.frontiersin.org/article/10.3389/fninf.2017.00034/full

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