Spike Feature Extraction Using Informative Samples

This paper presents a new spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has been evaluated on synthesized waveforms and experimentally recorded sequences. When compared with many spike sorting approaches our algorithm demonstrates improved speed, accuracy and allows unsupervised execution. A preliminary hardware implementation has been realized using an integrated microchip interfaced with a personal computer.

• Type: Conference
• Year: 2008
• Where: NIPS
• Authors: Zhi Yang, Qi Zhao, Wentai Liu
• Keywords: Information Technology, NIPS 2008, Spike Feature Extraction, Spike Sorting, Spike Sorting Approaches