Analyzing noninvasive brain images: toward a global brain model

John G. Taylor

doi:10.1117/12.343028

22 March 1999 Analyzing noninvasive brain images: toward a global brain model

John G. Taylor

Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343028
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden

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.

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John G. Taylor "Analyzing noninvasive brain images: toward a global brain model", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343028

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KEYWORDS

Brain

Computer programming

Positron emission tomography

Magnetoencephalography

Data modeling

Neuroimaging

Functional magnetic resonance imaging

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