Compatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting

Deciphering useful information from electrophysiological data recorded from the brain, in-vivo or in-vitro, is dependent on the capability to analyse spike patterns efficiently and accurately. The spike analysis mechanisms are heavily reliant on the clustering algorithms that enable separation of sp...

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Detalles Bibliográficos
Autores principales: Veerabhadrappa, Rakesh, Ul Hassan, Masood, Zhang, James, Bhatti, Asim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340107/
https://www.ncbi.nlm.nih.gov/pubmed/32714155
http://dx.doi.org/10.3389/fnsys.2020.00034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340107/
https://www.ncbi.nlm.nih.gov/pubmed/32714155
http://dx.doi.org/10.3389/fnsys.2020.00034

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