A 28Nm Online Spike Sorting Processor Based on Multi-Channel Template Matching
This paper presents a multi-channel template matchingbased online spike sorting (OSS) processor to sort low SNR units while maintaining low area, high efficiency, and constant latency for brain-computer interface (BCI), through softwarehardware co-design that exploits principles in neuroscience. It achieves 61.5% sorting accuracy with a min. unit SNR of 4 and stable sorting and visual decoding performance over 15 days in our visual response processing (VRP) experiment on a mouse.
Authors
- Kaiyuan Yang (ORCID: https://orcid.org/0000-0003-0591-2079)
- Ziyuan Wen
- Chong Xie (ORCID: https://orcid.org/0000-0002-5544-2864)
- Hanlin Zhu (ORCID: https://orcid.org/0000-0003-1089-0943)
- Rongqing Cong
- Jiaao Zhang
Institutions
- Rice University (US)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074980
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00