Open AccessThe Neyman Pearson detection of microsaccades with maximum likelihood estimation of parameters
Author(s) -
Hongzhi Zhu,
Septimiu E. Salcudean,
Robert Rohling
Publication year - 2019
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/19.13.17
Subject(s) - microsaccade , saccadic masking , saccade , computer science , artificial intelligence , eye tracking , eye movement , computer vision , gaze , pattern recognition (psychology) , algorithm
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