Detecting event-related recurrences by symbolic analysis: applications to human language processing.
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ABSTRACT:
SUBMITTER: Beim Graben P
PROVIDER: S-EPMC4281863 | biostudies-other | 2015 Feb
REPOSITORIES: biostudies-other
Publications
Detecting event-related recurrences by symbolic analysis: applications to human language processing.
Beim Graben Peter P Hutt Axel A
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 20150201 2034
Quasi-stationarity is ubiquitous in complex dynamical systems. In brain dynamics, there is ample evidence that event-related potentials (ERPs) reflect such quasi-stationary states. In order to detect them from time series, several segmentation techniques have been proposed. In this study, we elaborate a recent approach for detecting quasi-stationary states as recurrence domains by means of recurrence analysis and subsequent symbolization methods. We address two pertinent problems of contemporary ...[more]
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