A fast fixed-point algorithm for independent component analysis
Neural Computation
Independent component analysis for identification of artifacts in magnetoencephalographic recordings
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Independent component analysis: algorithms and applications
Neural Networks
Participatory EHPR: A Watermarking Solution
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
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A method for isolating and removing noise sources in single channel, unaveraged MEG recordings is presented. By combining tools from the fields of information theory and dynamical systems, we seek to decompose MEG time series into their underlying generating components. A simple technique is introduced for extracting components ofin terest and results from the application ofthese methods are presented. Traditional low pass filtering is also performed as a comparison to demonstrate the advantage ofour methodology.