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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Autors principals:	Eric eHu, Jean-Marie Charles Bouteiller, Dong eSong, Michel eBaudry, Theodore W Berger
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2015-09-01
Col·lecció:	Frontiers in Computational Neuroscience
Matèries:	computational modeling Multi-scale modeling Glutamatergic Synapse Volterra expansion Synaptic Modelling
Accés en línia:	http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00112/full
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