Literature DB >> 558080

Parametric time series models for multivariate EEG analysis.

W Gersch, J Yonemoto.   

Abstract

Mesh:

Year:  1977        PMID: 558080     DOI: 10.1016/0010-4809(77)90029-5

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


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  9 in total

1.  A relation between the Akaike criterion and reliability of parameter estimates, with application to nonlinear autoregressive modelling of ictal EEG.

Authors:  J D Victor; A Canel
Journal:  Ann Biomed Eng       Date:  1992       Impact factor: 3.934

2.  Autoregression models of EEG. Results compared with expectations for a multilinear near-equilibrium biophysical process.

Authors:  J J Wright; R R Kydd; A A Sergejew
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

3.  Estimation of the dynamics of event-related desynchronisation changes in electroencephalograms.

Authors:  J K Hiltunen; P A Karjalainen; J Partanen; J P Kaipio
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

4.  The application of parametric multichannel spectral estimates in the study of electrical brain activity.

Authors:  P J Franaszczuk; K J Blinowska; M Kowalczyk
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

5.  Modeling the electroencephalogram by means of spatial spline smoothing and temporal autoregression.

Authors:  J C Jimenez; R Biscay; O Montoto
Journal:  Biol Cybern       Date:  1995       Impact factor: 2.086

6.  Linear model of brain electrical activity--EEG as a superposition of damped oscillatory modes.

Authors:  P J Franaszczuk; K J Blinowska
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

7.  Characteristic nonlinearities of the 3/s ictal electroencephalogram identified by nonlinear autoregressive analysis.

Authors:  N D Schiff; J D Victor; A Canel; D R Labar
Journal:  Biol Cybern       Date:  1995       Impact factor: 2.086

8.  Spatio-temporal autoregressive models defined over brain manifolds.

Authors:  Pedro A Valdes-Sosa
Journal:  Neuroinformatics       Date:  2004

9.  Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes.

Authors:  Andrew J Quinn; Gary G R Green; Mark Hymers
Journal:  Neuroimage       Date:  2021-07-06       Impact factor: 6.556

  9 in total

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