Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes

Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes

This study introduces a new spike sorting method that classifies spike waveforms from multiunit recordings into spike trains of individual neurons. In particular, we develop a method to sort a spike mixture generated by a heterogeneous neural population. Such a spike sorting has a significant practi...

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Bibliographic Details
Main Authors: Takashi eTakekawa, Yoshikazu eIsomura, Tomoki eFukai
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-03-01
Series:Frontiers in Neuroinformatics
Subjects:
Classification
machine learning
robustness
Wavelet Transform
clustering
feature extraction
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00005/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fninf.2012.00005/full

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