Lookup NU author(s): Dr Jun Luo,
Dr Terrence Mak,
Professor Patrick Degenaar
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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.
Author(s): Luo JW, Coapes G, Mak T, Yamazaki T, Tin C, Degenaar P
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year of Conference: 2014
Online publication date: 06/11/2014
Acceptance date: 01/01/1900
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