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A connectionist perspective on detection and control of epileptic seizures

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3 Author(s)
Bardakjian, B.L. ; Inst. of Biomaterials & Biomed. Eng., Univ. of Toronto, Ont., Canada ; Chiu, A.W.L. ; Courville, A.

Epileptic seizures correspond to episodes of increased rhythmicity of the normally chaotic electrical activity in biological neural networks (BNNs). A connectionist perspective is presented whereby artificial neural networks (ANNs) are used to learn the chaotic dynamics of the biological neural networks. The ANNs are used to detect a change to a rhythmic mode in the BNNs, then employ nonlinear dynamics to restore the BNNs to their chaotic mode.

Published in:

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint  (Volume:3 )

Date of Conference:

23-26 Oct. 2002