Low-power machine learners for implantable decoding
Approximately 6 million people in the US and roughly 1 in 50 people worldwide suffer from paralysis. Intracortical brain machine interfaces (iBMIs) have shown promise in aiding movement, self-feeding and communication abilities of these severely motor-impaired patients. iBMIs essentially take neural...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/146463 |