On divided neural network and its application to source localization in the brain

Author

Xiaopu Yah ; Sun, Mingui ; Sonmex, M. ; Sclabassi, Robert J.

Author_Institution

Dept. of Neurosurgery, Pittsburgh Univ., PA, USA

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

795

Abstract

Decomposition of an artificial neural network (ANN) into two or more component neural networks, called divided neural network (DNN), is considered. This decomposition is very useful for solving some inverse problems in which certain parameters in the output are more important than others in the system under consideration. It is shown that, in this case, the DNN performs superior to the ANN. As an example, the application of the DNN to dipole source localization from a 64-channel EEG signal illustrates the authors´ theoretical result

Keywords

electroencephalography; inverse problems; medical signal processing; neural nets; 64-channel EEG signal; EEG inverse problem; artificial neural network decomposition; brain source localization; dipole sources; divided neural network; electrodiagnostics; error analysis; Artificial neural networks; Biological neural networks; Distributed computing; Electroencephalography; Error analysis; Intelligent networks; Inverse problems; Least squares approximation; Neurosurgery; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575367

Filename

575367