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- W1965860553 abstract "In this work we present a comparative study of Gaussian process models for single-trial event-related potentials (ERPs) in electroencephalography (EEG) recordings. Our data comes from a motor task experiment where an ERP arises before the motor response of the participant to a stimulus. We consider models based on stationary and non-stationary kernel functions. The comparison is done based on two different criteria: model likelihood and model reaction time prediction. We show how models with high likelihoods do not necessarily perform well at predicting reaction time. The non-stationary kernel function achieved the best predictive performance." @default.
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- W1965860553 date "2012-08-01" @default.
- W1965860553 modified "2023-09-24" @default.
- W1965860553 title "Comparison of Gaussian process models for single-trial event-related potentials" @default.
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- W1965860553 doi "https://doi.org/10.1109/ssp.2012.6319723" @default.
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