Bayesian estimation of ERP components from multicondition and multichannel EEG

@article{Wu2014BayesianEO,
  title={Bayesian estimation of ERP components from multicondition and multichannel EEG},
  author={Wei Wu and Chaohua Wu and Shangkai Gao and Baolin Liu and Yuanqing Li and Xiaorong Gao},
  journal={NeuroImage},
  year={2014},
  volume={88},
  pages={319-339}
}
Extraction and separation of functionally different event-related potentials (ERPs) from electroencephalography (EEG) is a long-standing problem in cognitive neuroscience. In this paper, we propose a Bayesian spatio-temporal model for estimating ERP components from multichannel EEG recorded under multiple experimental conditions. The model isolates the spatially and temporally overlapping ERP components by utilizing their phase-locking structure and the inter-condition non-stationarity… CONTINUE READING

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