A New Spike Detection Algorithm for Extracellular Neural Recordings

2010 ◽  
Vol 57 (4) ◽  
pp. 853-866 ◽  
Author(s):  
S. Shahid ◽  
J. Walker ◽  
L.S. Smith
Keyword(s):  
Detection Algorithm ◽  
Spike Detection ◽  
Neural Recordings

A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection

2011 ◽  
Vol 23 (1) ◽  
pp. 215-250 ◽  
Author(s):  
Chenhui Yang ◽  
Byron Olson ◽  
Jennie Si
Keyword(s):  
Detection Algorithm ◽  
Detection Performance ◽  
Tuning Parameter ◽  
Data Sets ◽  
Wavelet Coefficients ◽  
Spike Detection ◽  
Neural Recordings ◽  
Detection Algorithms ◽  
Image Edge ◽  
Spike Detector

Extracellular chronic recordings have been used as important evidence in neuroscientific studies to unveil the fundamental neural network mechanisms in the brain. Spike detection is the first step in the analysis of recorded neural waveforms to decipher useful information and provide useful signals for brain-machine interface applications. The process of spike detection is to extract action potentials from the recordings, which are often compounded with noise from different sources. This study proposes a new detection algorithm that leverages a technique from wavelet-based image edge detection. It utilizes the correlation between wavelet coefficients at different sampling scales to create a robust spike detector. The algorithm has one tuning parameter, which potentially reduces the subjectivity of detection results. Both artificial benchmark data sets and real neural recordings are used to evaluate the detection performance of the proposed algorithm. Compared with other detection algorithms, the proposed method has a comparable or better detection performance. In this letter, we also demonstrate its potential for real-time implementation.

Cluster-based spike detection algorithm adapts to interpatient and intrapatient variation in spike morphology

2012 ◽  
Vol 210 (2) ◽  
pp. 259-265 ◽  
Author(s):  
Antoine Nonclercq ◽  
Martine Foulon ◽  
Denis Verheulpen ◽  
Cathy De Cock ◽  
Marga Buzatu ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Spike Detection ◽  
Spike Morphology
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