@inproceedings{5bed95050d134c8b89eb8a26ded01577,
title = "Real-time variance based template matching spike sorting system",
abstract = "We present a real-time variance based template matching system for spike sorting. The system employs an ultra-low-power CMOS variance estimator to detect and discriminate between distinct spike classes in real-time. Simulations demonstrate reliable single-unit detection at near 0 dB SNU, and robust classification of action potentials from noisy spike trains; measured results from the variance estimation circuit are in good agreement with simulations. This design thus represents a significant improvement in power efficiency over existing online sorting architectures, which is necessary in order to achieve fully implantable neural prosthetics.",
author = "Haas, \{Alfred M.\} and Cohen, \{Marc H.\} and Abshire, \{Pamela A.\}",
year = "2007",
doi = "10.1109/LSSA.2007.4400895",
language = "English",
isbn = "9781424418138",
series = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA",
publisher = "IEEE Computer Society",
pages = "104--107",
booktitle = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA",
note = "2007 IEEE/NIH Life Science Systems and Applications Workshop, LISA ; Conference date: 08-11-2007 Through 09-11-2007",
}