DocumentCode :
1654761
Title :
Modelling brain cortical connectivity using diffusion adaptation
Author :
Eftaxias, Konstantinos ; Sanei, Saeid ; Sayed, Ali H.
Author_Institution :
Fac. of Eng. & Phys. Sci., Univ. of Surrey, Guildford, UK
fYear :
2013
Firstpage :
959
Lastpage :
962
Abstract :
This work examines the flow of information among electrodes attached to the brain and uses diffusion adaptation strategies to assess brain cortical connectivity. The method uses the directed transfer function (DTF) technique to estimate combination coefficients to drive the adaptation and learning process. The diffusion strategy is then applied to the problem of recognizing left and right hand movements and its superior performance is demonstrated relative to solutions that rely on stand-alone electrodes and do not exploit coordination among multiple electrodes.
Keywords :
biomedical electrodes; brain; diffusion; learning (artificial intelligence); transfer functions; DTF technique; adaptation process; brain cortical connectivity modelling; diffusion adaptation; diffusion adaptation strategies; directed transfer function technique; learning process; multiple electrodes; Adaptation models; Brain models; Electrodes; Electroencephalography; Noise; Vectors; Diffusion adaptation; brain connectivity; directed transfer function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6637791
Filename :
6637791
Link To Document :
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