| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6031410 | NeuroImage | 2012 | 16 Pages |
Abstract
⺠A dynamic model of event-related hemodynamic activity is proposed. ⺠A simple means of generating hemodynamic predictor (basis) function is proposed. ⺠The method is computationally efficient in predicting brain tasks. ⺠It incorporates event-related intra- and inter-activation-dynamics of the tasks. ⺠It avoids delay and enhances the event-related features for peer BCI applications.
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Authors
Muhammad Aqil, Keum-Shik Hong, Myung-Yung Jeong, Shuzhi Sam Ge,