Novel modeling of task versus rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics

Novel modeling of task versus rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics

Dynamic time warping, or DTW, is a powerful and domain-general sequence alignment method for computing a similarity measure. Such dynamic programming-based techniques like DTW are now the backbone and driver of most bioinformatics methods and discoveries. In neuroscience it has had far less use, tho...

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Bibliographic Details
Main Authors: Martin eDinov, Romy eLorenz, Gregory eScott, Erik D Fagerholm, David J Sharp, Robert eLeech
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
EEG
oscillations
prediction
DFT
Dynamic Time Warping
Fourier Transform
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00046/full

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