Literature DB >> 3607101

A study of stability of electrocortical rhythm generators.

P Mitraszewski, K J Blinowska, P J Franaszczuk, M Kowalczyk.   

Abstract

By means of the autoregressive model the transfer function and the impulse response function were determined and the parameters characterizing electrocortical oscillators were found for the four brain structures of the experimental animals. Different kinds of the representation of these parameters were compared and their sensitivity to the different factors was tested. The advantages of the proposed method over the conventional spectral analysis were demonstrated. Cluster analysis was applied in order to test the stability of the determined basic rhythms. Proposed method seems to be very useful for the investigation of the processes of rhythmical activity generation and control.

Mesh:

Year:  1987        PMID: 3607101     DOI: 10.1007/bf00365220

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  4 in total

1.  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

2.  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

3.  State-changes in the brain viewed as linear steady-states and non-linear transitions between steady-states.

Authors:  J J Wright; R R Kydd; G J Lees
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

4.  A linear theory for global electrocortical activity and its control by the lateral hypothalamus.

Authors:  J J Wright; R R Kydd
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

  4 in total
  2 in total

1.  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

2.  Reticular activation and the dynamics of neuronal networks.

Authors:  J J Wright
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

  2 in total

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