NDLI: Prediction of eye movements from EEG

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)

Volume 3 - 1999

A mixture of local PCA learning algorithm for adaptive transform coding

Evolution versus training: an investigation into combining genetic algorithms and neural networks

A data-driven rule-based neural network model for classification

Dynamic processes to induce LTP in hippocampalCA1 area: experiment and model

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Comparison between syntactic pattern recognition and the randomized Hough transform

Registration of multi-modality medical images by soft computing approach

Automated segmentation of the lateral ventricle of MR brain by fuzzy inference

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Why a window-based learning algorithm using an Effective Boltzmann machine is superior to the original BM learning algorithm

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Coherent responses in neural networks with the Hopfield-type memory

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Prediction of eye movements from EEG

Flexible feature detection by structural information

Fingerprint feature extraction by fuzzy logic and neural networks

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Fuzzy logic in the recognition of machine printed Arabic characters

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Volume 2 - 1999

Volume 1 - 1999

Prediction of eye movements from EEG

Content Provider	IEEE Xplore Digital Library
Author	Funase, A. Yagi, T. Kuno, Y. Uchikawa, Y.
Copyright Year	1999
Description	Author affiliation: Sch. of Eng., Nagoya Univ., Japan (Funase, A.)
Abstract	Nowadays a great deal of attention has been paid to the brain-computer interface (BCI). Its advantage is that it is operated by thoughts. In order to develop such an interface, we have been conducting research to move a computer cursor using the an electro-encephalogram (EEG). We examined the relations between eye movements and the EEG. In the experiment, we recorded the EEG in eye movements toward visual/auditory stimulus, and analyzed the data. As a result, when a subject moved its eyes toward a stimulus, the EEG decreased very much in the occipital lobe at 25 millisecond advance to eye movements. Besides, when the eyes move towards the right, the change of the EEG was found in the right occipital lobe, and towards the left, in the left.
Starting Page	1127
Ending Page	1131
File Size	445638
Page Count	5
File Format	PDF
ISBN	0780358716
DOI	10.1109/ICONIP.1999.844694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-11-16
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Data analysis Eyes Humans Computer interfaces Keyboards Yagi-Uda antennas Mice Brain computer interfaces Signal analysis
Content Type	Text
Resource Type	Article

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