Open AccessSynaptic energy drives the information processing mechanisms in spiking neural networks
Author(s) -
Karim El Laithy,
Martin Bogdan
Publication year - 2014
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2014.11.233
Subject(s) - artificial neural network , computer science , postsynaptic potential , energy (signal processing) , energy flow , synaptic cleft , neuroscience , artificial intelligence , physics , chemistry , biology , neurotransmitter , biochemistry , receptor , quantum mechanics , central nervous system