Open AccessA new analytical method for characterizing nonlinear visual processes with stimuli of arbitrary distribution: Theory and applications
Author(s) -
Ryusuke Hayashi,
Osamu Watanabe,
H. Yokoyama,
Shin’ya Nishida
Publication year - 2017
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/17.6.14
Subject(s) - nonlinear system , computer science , psychophysics , gaussian , nonlinear system identification , algorithm , stimulus (psychology) , experimental data , artificial intelligence , system identification , pattern recognition (psychology) , perception , mathematics , data mining , statistics , biology , measure (data warehouse) , psychology , psychotherapist , physics , quantum mechanics , neuroscience
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