Bayesian estimation of ERP components from multicondition and multichannel EEG

  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},
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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An introduction to the event-related potential technique

  • S. J. Luck
  • 2005
Highly Influential
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A new efficient method for determining the number of components in PARAFAC models

  • R. Bro, H. A. Kiers
  • Journal of chemometrics
  • 2003
Highly Influential
3 Excerpts

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