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Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface
| Content Provider | Scilit |
|---|---|
| Author | Blakely, Tim M. Olson, Jared D. Miller, Kai J. Rao, Rajesh P. N. Ojemann, Jeffrey G. |
| Copyright Year | 2014 |
| Description | Human subjects can learn to control a one-dimensional electrocorticographic (ECoG) brain-computer interface (BCI) using modulation of primary motor (M1) high-gamma activity (signal power in the 75–200 Hz range). However, the stability and dynamics of the signals over the course of new BCI skill acquisition have not been investigated. In this study, we report 3 characteristic periods in evolution of the high-gamma control signal during BCI training: initial, low task accuracy with corresponding low power modulation in the gamma spectrum, followed by a second period of improved task accuracy with increasing average power separation between activity and rest, and a final period of high task accuracy with stable (or decreasing) power separation and decreasing trial-to-trial variance. These findings may have implications in the design and implementation of BCI control algorithms. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295512/pdf |
| Ending Page | 157 |
| Page Count | 11 |
| Starting Page | 147 |
| ISSN | 2326263X |
| e-ISSN | 23262621 |
| DOI | 10.1080/2326263x.2014.954183 |
| Journal | Brain-Computer Interfaces |
| Issue Number | 3-4 |
| Volume Number | 1 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-10-02 |
| Access Restriction | Open |
| Subject Keyword | Journal: Brain-computer Interfaces Neurosciences Brain-computer Interface (bci) Brain-machine Interface (bmi) Motor Learning Motor Imagery High Gamma Electrocorticography (ecog) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Behavioral Neuroscience Electrical and Electronic Engineering Human-Computer Interaction Biomedical Engineering |