Discovering recurring patterns in electrophysiological recordings.

Bart Gips,Ali Bahramisharif,Eric Lowet,Mark Roberts,Peter De Weerd,Ole Jensen,Jan van der Eerden

Journal of Neuroscience Methods（2017）

引用 8|浏览24

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摘要

•SWM is a novel method to identify reoccurring patterns in dynamic datasets.•SWM finds evoked potentials and oscillatory motifs in electrophysiological data.•SWM avoids Fourier decomposition and so can identify asymmetric waveforms.•SWM tolerates higher noise levels than Fourier based methods.

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关键词

Evoked response,Theta,Gamma,Oscillation,Markov Chain Monte Carlo

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