Spike Feature Extraction Using Informative Samples
Abstract
This paper presents a 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.
Cite
Text
Yang et al. "Spike Feature Extraction Using Informative Samples." Neural Information Processing Systems, 2008.Markdown
[Yang et al. "Spike Feature Extraction Using Informative Samples." Neural Information Processing Systems, 2008.](https://mlanthology.org/neurips/2008/yang2008neurips-spike/)BibTeX
@inproceedings{yang2008neurips-spike,
title = {{Spike Feature Extraction Using Informative Samples}},
author = {Yang, Zhi and Zhao, Qi and Liu, Wentai},
booktitle = {Neural Information Processing Systems},
year = {2008},
pages = {1865-1872},
url = {https://mlanthology.org/neurips/2008/yang2008neurips-spike/}
}