Chapter 2 Generalized state-space models for modeling nonstationary EEG time-series

@inproceedings{Galka2010Chapter2G,
  title={Chapter 2 Generalized state-space models for modeling nonstationary EEG time-series},
  author={Andreas Galka and Kin Foon Kevin Wong and Tohru Ozaki},
  year={2010}
}
Contemporary neuroscientific research has access to various techniques for recording time-resolved data relating to human brain activity: electroencephalography (EEG) and magnetoencephalography (MEG) record the electromagnetic fields generated by the brain, while other techniques, such as near-infrared spectroscopy (NIRS) and functional magnetic resonance imaging (fMRI) are sensitive to the local metabolic activity of brain tissue. Time-resolved data contain valuable information on the… CONTINUE READING
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