Open AccessThe effect of an exogenous magnetic field on neural coding in deep spiking neural networks
Author(s) -
Lei Guo,
Wei Zhang,
Jialei Zhang
Publication year - 2018
Publication title -
journal of integrative neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.336
H-Index - 33
eISSN - 1757-448X
pISSN - 0219-6352
DOI - 10.31083/jin-170046
Subject(s) - magnetic field , artificial neural network , spiking neural network , coding (social sciences) , amplitude , computer science , physics , biological system , neuroscience , biology , mathematics , artificial intelligence , statistics , quantum mechanics
A ten-layer feed forward network was constructed in the presence of an exogenous alternating magnetic field. Results indicate that for rate coding, the firing rate is increased in the presence of an exogenous alternating magnetic field and particularly with increasing enhancement of the alternating magnetic field amplitude. For temporal coding, in the presence of alternating magnetic field, the interspike intervals of the spiking sequence are decreased and the distribution of interspike intervals tends to be uniform.