AN ANALYTICAL FRAMEWORK FOR MODELING EVOKED AND EVENT-RELATED POTENTIALS
2004 ◽
Vol 14
(02)
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pp. 653-666
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Keyword(s):
The present work reviews briefly a segmentation method and a modeling approach for multivariate quasi-stationary data. The combination of both parts allows the extraction of low-dimensional models from multidimensional data. The segmentation method is applied to event-related potentials and fields and early auditory evoked potentials and extracts ERP- and ERF-components and early auditory waves objectively and independent from the number of segments. Additionally, the early auditory wave Pa is modeled by a two-dimensional system of ordinary differential equations. We find a common topology of wave Pa, which lets us conjecture intrinsic low-dimensional underlying attractors in the corresponding neuronal dynamics.
2011 ◽
Vol 52
(4)
◽
pp. 307-312
2001 ◽
Vol 24
(5)
◽
pp. 823-824
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2000 ◽
Vol 279
(3)
◽
pp. 153-156
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2016 ◽
1997 ◽
Vol 5
(4)
◽
pp. 301-309
◽
2021 ◽
1984 ◽
Vol 145
(6)
◽
pp. 652-656
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