Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation

Piotr W. Mirowski; Deepak Madhavan; Yann LeCun

Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation

Piotr W. Mirowski, Deepak Madhavan, Yann LeCun

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This research focuses on the development of a machine learning technique based on Time-Delay Neural Networks (TDNN) and Independent Component Analysis (ICA), to analyze EEG signal dynamics related to the initiation and propagation of epileptic seizures. We aim at designing a generative model to simulate EEG time-series after alteration of specific localized channels (electrodes) in order to explore the effects of brain surgery ex-vivo.

Original language	English (US)
Title of host publication	AAAI-07/IAAI-07 Proceedings
Subtitle of host publication	22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Pages	1892-1893
Number of pages	2
State	Published - 2007
Event	AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada Duration: Jul 22 2007 → Jul 26 2007

Publication series

Name	Proceedings of the National Conference on Artificial Intelligence
Volume	2

Other

Other	AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Country/Territory	Canada
City	Vancouver, BC
Period	7/22/07 → 7/26/07

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

Mirowski, P. W., Madhavan, D., & LeCun, Y. (2007). Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation. In AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference (pp. 1892-1893). (Proceedings of the National Conference on Artificial Intelligence; Vol. 2).

Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation. / Mirowski, Piotr W.; Madhavan, Deepak; LeCun, Yann.
AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. p. 1892-1893 (Proceedings of the National Conference on Artificial Intelligence; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mirowski, PW, Madhavan, D & LeCun, Y 2007, Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation. in AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. Proceedings of the National Conference on Artificial Intelligence, vol. 2, pp. 1892-1893, AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference, Vancouver, BC, Canada, 7/22/07.

Mirowski PW, Madhavan D, LeCun Y. Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation. In AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. p. 1892-1893. (Proceedings of the National Conference on Artificial Intelligence).

Mirowski, Piotr W. ; Madhavan, Deepak ; LeCun, Yann. / Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation. AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference. 2007. pp. 1892-1893 (Proceedings of the National Conference on Artificial Intelligence).

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Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation

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