TY - GEN
T1 - A low-cost reliable online noise level estimation for accurate spike detection in extracellular recordings
AU - Artan, N. Sertac
AU - Xu, Xiaoxiang
AU - Chao, H. Jonathan
PY - 2012
Y1 - 2012
N2 - On-line unsupervised spike detection is a fundamental building block for autonomous neural implants. To accurately monitor neurological activity, the spike detectors should be able to operate at a wide range of firing rates. This can only be achieved by a careful estimation of instantaneous noise level in the recording. In this paper, we propose a system for estimating noise level in extracellular recordings, which is reliable across a wide range of firing rates, and thus leads to accurate spike detection.
AB - On-line unsupervised spike detection is a fundamental building block for autonomous neural implants. To accurately monitor neurological activity, the spike detectors should be able to operate at a wide range of firing rates. This can only be achieved by a careful estimation of instantaneous noise level in the recording. In this paper, we propose a system for estimating noise level in extracellular recordings, which is reliable across a wide range of firing rates, and thus leads to accurate spike detection.
UR - http://www.scopus.com/inward/record.url?scp=84874187943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874187943&partnerID=8YFLogxK
U2 - 10.1109/BioCAS.2012.6418458
DO - 10.1109/BioCAS.2012.6418458
M3 - Conference contribution
AN - SCOPUS:84874187943
SN - 9781467322935
T3 - 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012 - Conference Publications
SP - 216
EP - 219
BT - 2012 IEEE Biomedical Circuits and Systems Conference
T2 - 2012 IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Electronics and Systems for Better Life and Better Environment, BioCAS 2012
Y2 - 28 November 2012 through 30 November 2012
ER -