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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Junwen Luo Coapes, G. Mak, T. Yamazaki, T. Chung Tin Degenaar, P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong, China (Mak, T.) || Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK (Junwen Luo; Coapes, G.; Degenaar, P.) || Dept. of Mech. & Biomed. Eng., City Univ. of Hong Kong, Hong Kong, China (Chung Tin) || Univ. of Electro-Commun., Tokyo, Japan (Yamazaki, T.) |
| Abstract | The cerebellum plays a critical role for sensorimotor control and learning. However dysmertria or delays in movements' onsets consequent to damages in cerebellum cannot be cured completely at the moment. To foster a potential cure based on neuroprosthetic technology, we present a frame-based Network-on-Chip (NoC) hardware architecture for implementing a bio-realistic cerebellum model with 100,000 neurons, which has been used for studying timing control or passage-of-time (POT) encoding mediated by the cerebellum. The results demonstrate that our implementation can reproduce the POT functionality properly. The computational speed can achieve to 25.6 ms for simulating 1 sec real world activities. Furthermore, we show a hardware electronic setup and illustrate how the silicon cerebellum can be adapted as a potential neuroprosthetic platform for future biological or clinical applications. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 3102 |
| Ending Page | 3105 |
| File Size | 1023674 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944279 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer architecture Hardware Microprocessors Program processors Computational modeling Educational institutions Biological system modeling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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