Application of Parallel Factor Analysis (PARAFAC) to Electrophysiological Data

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 & Chang, 1970;...

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Bibliographic Details
Main Authors: Sarah Katharina eSchmitz, Philipp P Hasselbach, Boris eEbisch, Anja eKlein, Gordon ePipa, Ralf A. W. Galuske
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-01-01
Series:Frontiers in Neuroinformatics
Subjects:
Principal Component Analysis
cross correlation
Parallel factor analysis
cat primary visual cortex
cortical deactivation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00084/full

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