Complex independent component analysis of frequency-domain electroencephalographic data
نویسندگان
چکیده
منابع مشابه
Complex independent component analysis of frequency-domain electroencephalographic data
Independent component analysis (ICA) has proven useful for modeling brain and electroencephalographic (EEG) data. Here, we present a new, generalized method to better capture the dynamics of brain signals than previous ICA algorithms. We regard EEG sources as eliciting spatio-temporal activity patterns, corresponding to, e.g. trajectories of activation propagating across cortex. This leads to a...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2003
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2003.08.003