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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Detalles Bibliográficos
Autores principales: Pillow, Jonathan W., Shlens, Jonathon, Chichilnisky, E. J., Simoncelli, Eero P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643981/
https://www.ncbi.nlm.nih.gov/pubmed/23671583
http://dx.doi.org/10.1371/journal.pone.0062123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643981/
https://www.ncbi.nlm.nih.gov/pubmed/23671583
http://dx.doi.org/10.1371/journal.pone.0062123

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