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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ye, N. Roontiva, A. He, J. |
| Copyright Year | 2008 |
| Description | Author affiliation: Industrial Engineering Department, Arizona State University, Tempe, 85287, USA (Ye, N.; Roontiva, A.) || Harrington Department of Bioengineering and the Center for Neural Interface Design, Arizona State University, Tempe, 85287 USA (He, J.) |
| Abstract | With the use of the neuronal data acquisition technology, millisecond-level multi-electrode data from several regions of the premotor area were obtained from two rhesus monkeys trained to perform arm-reach tasks with visual cues in virtual reality. In each trial, animals were required to select and perform one of the four possible arm reaching movements to the target on the top-left or top-right of the virtual reality space. They were also required to decide whether they would move their arms straight to the target or curve them in order to avoid the obstacle that was presented. After the acquired neuronal signals were processed, unsupervised Hierarchical clustering and K-means clustering were performed to uncover the similarity and difference in the average firing rate of spike train data between neurons and phases for each experiment condition. The clustering results indicate the similarity of neuronal data in the movement planning and actual movement phases, and the difference of such data from the data in information processing phases. Furthermore, the clustering results show that when the target location is on the right, the move planning started earlier. The analysis of variance (ANOVA) on the neuronal data confirms the results from the hierarchical clustering. |
| Starting Page | 2638 |
| Ending Page | 2641 |
| File Size | 285667 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424418145 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2008.4649742 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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