Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits
Real time spike detection is the first critical step to develop spike-sorting for integrated brain circuits interface applications. Nonlinear Energy Operator (NEO) and absolute thresholding have been widely used as the spike detection algorithms where NEO has a better performance measured by th...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/82912 http://hdl.handle.net/10220/40373 |
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| Institution: | Nanyang Technological University |
| Language: | English |