Open AccessTheoretical basis of SQUID-based artificial neurons
Author(s) -
Haruna Katayama,
Toshiyuki Fujii,
Noriyuki Hatakenaka
Publication year - 2018
Publication title -
journal of applied physics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/1.5037718
Subject(s) - sigmoid function , artificial neuron , squid , basis (linear algebra) , activation function , artificial neural network , biological system , neuron , function (biology) , transfer function , physics , superconductivity , statistical physics , computer science , artificial intelligence , neuroscience , condensed matter physics , mathematics , biology , engineering , electrical engineering , ecology , geometry , evolutionary biology
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