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A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings

We examine the problem of estimating the spike trains of multiple neurons from voltage traces recorded on one or more extracellular electrodes. Traditional spike-sorting methods rely on thresholding or clustering of recorded signals to identify spikes. While these methods can detect a large fraction...

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Detalhes bibliográficos
Main Authors: Pillow, Jonathan W., Shlens, Jonathon, Chichilnisky, E. J., Simoncelli, Eero P.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3643981/
https://ncbi.nlm.nih.gov/pubmed/23671583
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0062123
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