scholarly journals Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

2008 ◽  
Author(s):  
E. Biffi ◽  
D. Ghezzi ◽  
A. Pedrocchi ◽  
G. Ferrigno
Keyword(s):  
Hierarchical Classification ◽  
Detection Algorithm ◽  
Spike Detection ◽  
Spike Waveforms

scholarly journals An Adaptive Detection for Automatic Spike Sorting Based on Mixture of Skew-t distributions

2020 ◽  
Author(s):  
Ramin Toosi ◽  
Mohammad Ali Akhaee ◽  
Mohammad-Reza A. Dehaqani
Keyword(s):  
Adaptive Algorithm ◽  
Clustering Algorithm ◽  
Detection Algorithm ◽  
Spike Sorting ◽  
Spike Detection ◽  
Adaptive Procedure ◽  
New Techniques ◽  
Spike Waveforms

ABSTRACTDeveloping new techniques of simultaneous recoding using thousand electrodes, make the wide variety of spike waveforms across multiple channels. This problem causes spike loss and raise the crucial issue of spike sorting with unstable clusters. While there exist many automatic spike sorting methods, there has been a lack of studies developing robust and adaptive spike detection algorithm. Here, an adaptive procedure is introduced to improve the detection of spikes in different scenarios. This procedure includes a new algorithm which aligns the spike waveforms at the point of extremums. The other part is statistical filtering, which seeks to remove noises that mistakenly detected as true spike. To deal with non-symmetrical clusters, we proposed a new clustering algorithm based on the mixture of skew-t distributions. The proposed method could overcome the spike loss and skewed cells challenges by offering an improvement over automatic detection, alignment, and clustering of spikes. Investigating the sorted spikes, reveals that proposed adaptive algorithm improves the performance of the spike detection in both terms of precision and recall. The adaptive algorithm has been validated on different datasets and demonstrates a general solution to precise spike sorting, in vitro and in vivo.

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

Improved Spike Detection Algorithm Based on Multi-Template Matching and Feature Extraction

2021 ◽  
pp. 1-1
Author(s):  
Tiejia Jiang ◽  
Duanpo Wu ◽  
Feng Gao ◽  
Jiuwen Cao ◽  
Shenyi Dai ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Template Matching ◽  
Detection Algorithm ◽  
Spike Detection

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
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