Nonlinear Synapses for Large-Scale Models: An Efficient Representation Enables Complex Synapse Dynamics Modeling in Large-Scale Simulations

Nonlinear Synapses for Large-Scale Models: An Efficient Representation Enables Complex Synapse Dynamics Modeling in Large-Scale Simulations

Chemical synapses are comprised of a wide collection of intricate signaling pathways involving complex dynamics. These mechanisms are often reduced to simple spikes or exponential representations in order to enable computer simulations at higher spatial levels of complexity. However, these represent...

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Bibliographic Details
Main Authors: Eric eHu, Jean-Marie Charles Bouteiller, Dong eSong, Michel eBaudry, Theodore W Berger
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
computational modeling
Multi-scale modeling
Glutamatergic Synapse
Volterra expansion
Synaptic Modelling
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00112/full

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