Efficient Universal Computing Architectures for Decoding Neural Activity
The ability to decode neural activity into meaningful control signals for prosthetic devices is critical to the development of clinically useful brain- machine interfaces (BMIs). Such systems require input from tens to hundreds of brain-implanted recording electrodes in order to deliver robust and a...
| Main Authors: | , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science,
2012-11-14T15:07:17Z.
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| Subjects: | |
| Online Access: | Get fulltext |