A hierarchical decision module based on multiple neural networks

Author

Sönmez, Murat ; Sun, Mingui ; Li, Ching-Chung ; Sclabassi, Robert J.

Author_Institution

Dept. of Electr. Eng., Pittsburgh Univ., PA, USA

Volume

1

fYear

1997

fDate

9-12 Jun 1997

Firstpage

238

Abstract

A new approach to source localization in the human brain, an important problem of neuroscience, is presented. A multiple neural network-based hierarchical decision-making system is developed. Each network is assigned to an independent model, and the output is evaluated in the higher level of the decision-making system. Utility functions are designed in the framework of decision-making. The network with the highest utility value is selected as the best network, representing the best model in EEG based inverse mapping. Simulation results show that the multiple neural network based decision-making system has successfully produced preferred decisions in source localization

Keywords

brain models; decision support systems; decision theory; electroencephalography; inverse problems; medical signal processing; neural nets; neurophysiology; EEG based inverse mapping; hierarchical decision module; human brain; multiple neural network-based hierarchical decision-making system; neuroscience; preferred decisions; source localization; utility functions; Artificial neural networks; Biological neural networks; Brain modeling; Decision making; Electroencephalography; Humans; Magnetoencephalography; Neural networks; Neuroscience; Surgery;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks,1997., International Conference on

Conference_Location

Houston, TX

Print_ISBN

0-7803-4122-8

Type

conf

DOI

10.1109/ICNN.1997.611671

Filename

611671