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Multiscale Autoregressive Identification of Neuroelectrophysiological Systems
Joint Authors
Jenkins, W. Kenneth
Gilmour, Timothy P.
Lagoa, Constantino
Subramanian, Thyagarajan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-15
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Electrical signals between connected neural nuclei are difficult to model because of the complexity and high number of paths within the brain.
Simple parametric models are therefore often used.
A multiscale version of the autoregressive with exogenous input (MS-ARX) model has recently been developed which allows selection of the optimal amount of filtering and decimation depending on the signal-to-noise ratio and degree of predictability.
In this paper, we apply the MS-ARX model to cortical electroencephalograms and subthalamic local field potentials simultaneously recorded from anesthetized rodent brains.
We demonstrate that the MS-ARX model produces better predictions than traditional ARX modeling.
We also adapt the MS-ARX results to show differences in internuclei predictability between normal rats and rats with 6OHDA-induced parkinsonism, indicating that this method may have broad applicability to other neuroelectrophysiological studies.
American Psychological Association (APA)
Gilmour, Timothy P.& Subramanian, Thyagarajan& Lagoa, Constantino& Jenkins, W. Kenneth. 2012. Multiscale Autoregressive Identification of Neuroelectrophysiological Systems. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-482442
Modern Language Association (MLA)
Gilmour, Timothy P.…[et al.]. Multiscale Autoregressive Identification of Neuroelectrophysiological Systems. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-482442
American Medical Association (AMA)
Gilmour, Timothy P.& Subramanian, Thyagarajan& Lagoa, Constantino& Jenkins, W. Kenneth. Multiscale Autoregressive Identification of Neuroelectrophysiological Systems. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-482442
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482442