Modulation Depth Estimation and Variable Selection in State-Space Models for Neural Interfaces
Rapid developments in neural interface technology are making it possible to record increasingly large signal sets of neural activity. Various factors such as asymmetrical information distribution and across-channel redundancy may, however, limit the benefit of high-dimensional signal sets, and the i...
| Main Authors: | , , , |
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| Other Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2016-05-02T16:10:59Z.
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| Subjects: | |
| Online Access: | Get fulltext |