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Proceedings Paper

Analyzing noninvasive brain images: toward a global brain model
Author(s): John G. Taylor
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Paper Abstract

An overview is given of recent results coming from non- invasive brain imaging data from PET, fMRI, EEG & MEG machines. These are briefly surveyed and data analysis techniques presently being used reviewed. The results of the experiments can be divided into static and dynamical processing. The most important recent technique used in analyzing PET and fMRI, that of structural modeling, is briefly described. Results from this approach from several experiments are used to build a static model of the global flow of information in the brain. Possible modifications to this model by dynamic understanding of the brain from MEG experiments, and the further problems they present, is then considered. Approaches to these problems by neural modeling is briefly discussed to conclude the paper.

Paper Details

Date Published: 22 March 1999
PDF: 18 pages
Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343028
Show Author Affiliations
John G. Taylor, King's College London (United Kingdom)

Published in SPIE Proceedings Vol. 3728:
Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks
Thomas Lindblad; Mary Lou Padgett; Jason M. Kinser, Editor(s)

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