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- W2244170958 abstract "It is a widely researched problem in quantitative electroencephalography (qEEG) to estimate the biopotential sources within a volume of tissue based on external electrical measurements. Backpropagation neural network (BPN) has recently been proposed to solve this problem, but has never been properly compared with competing classical techniques in the literature, or with more recent neural network techniques such as the Radial Basis Function (RBF) network. In this paper, we investigate the use of RBF network for the source localization and systematically compare its performance with those of the BPN and a classical iterative optimization technique, the Levenberg-Marquardt (LM) algorithm. We also propose a novel 'two step' method for training neural networks in this source localization problem, and demonstrate its effectiveness." @default.
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- W2244170958 date "2001-01-01" @default.
- W2244170958 modified "2023-09-23" @default.
- W2244170958 title "A systematic comparison of classical and neural network techniques in EEG source localization" @default.
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