A Comprehensive Exploration of Unsupervised Classification in Spike Sorting: A Case Study on Macaque Monkey and Human Pancreatic Signals

Spike sorting, an indispensable process in the analysis of neural biosignals, aims to segregate individual action potentials from mixed recordings. This study delves into a comprehensive investigation of diverse unsupervised classification algorithms, some of which, to the best of our knowledge, hav...

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Detalhes bibliográficos

Principais autores:	Francisco Javier Iñiguez-Lomeli, Edgar Eliseo Franco-Ortiz, Ana Maria Silvia Gonzalez-Acosta, Andres Amador Garcia-Granada, Horacio Rostro-Gonzalez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-05-01
coleção:	Algorithms
Assuntos:	biosignals unsupervised classification spike sorting PCA K-means self-organizing maps
Acesso em linha:	https://www.mdpi.com/1999-4893/17/6/235
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