A novel and fully automatic spike-sorting implementation with variable number of features

The most widely used spike-sorting algorithms are semiautomatic in practice, requiring manual tuning of the automatic solution to achieve good performance. In this work, we propose a new fully automatic spike-sorting algorithm that can capture multiple clusters of different sizes and densities. In a...

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Detalles Bibliográficos
Autores principales: Chaure, Fernando J., Rey, Hernan G., Quian Quiroga, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2018
Materias:
Innovative Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230803/
https://www.ncbi.nlm.nih.gov/pubmed/29995603
http://dx.doi.org/10.1152/jn.00339.2018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230803/
https://www.ncbi.nlm.nih.gov/pubmed/29995603
http://dx.doi.org/10.1152/jn.00339.2018

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