Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

Stream-based Hebbian eigenfilter for real-time neuronal spike discrimination

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Background: Principal component analysis (PCA) has been widely employed for automatic neuronal spike sorting. Calculating principal components (PCs) is computationally expensive, and requires complex numerical operations and large memory resources. Substantial hardware resources are therefore needed...

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Bibliographic Details
Main Authors: Yu, Bo (Author), Mak, Terrence (Author), Li, Xiangyu (Author), Smith, Leslie (Author), Sun, Yihe (Author), Poon, Chi-Sang (Contributor)
Other Authors: Harvard University- (Contributor)
Format: Article
Language:English
Published: Springer (Biomed Central Ltd.), 2012-07-24T12:40:03Z.
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