Adaptive regularization network based neural modeling paradigm for nonlinear adaptive estimation of cerebral evoked potentials.

Abstract

In this paper we report an adaptive regularization network (ARN) approach to realizing fast blind separation of cerebral evoked potentials (EPs) from background electroencephalogram (EEG) activity with no need to make any explicit assumption on the statistical (or deterministic) signal model. The ARNs are proposed to construct nonlinear EEG and EP signal… (More)

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@article{Zhang2007AdaptiveRN, title={Adaptive regularization network based neural modeling paradigm for nonlinear adaptive estimation of cerebral evoked potentials.}, author={Jian-Hua Zhang and Johann F. B{\"{o}hme}, journal={Medical engineering & physics}, year={2007}, volume={29 9}, pages={1008-18} }