Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data
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Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data
The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task. Parallel Factor Analysis (PARAFAC; Hitchcock, 1927; Carrol and Chang, 1970; Harshman, 1970) is a method to decompose multi-dimensional arrays in order to focus on the features...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2015
ISSN: 1662-5196
DOI: 10.3389/fninf.2014.00084