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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Francisco Javier Iñiguez-Lomeli, Edgar Eliseo Franco-Ortiz, Ana Maria Silvia Gonzalez-Acosta, Andres Amador Garcia-Granada, Horacio Rostro-Gonzalez
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-05-01
Σειρά:	Algorithms
Θέματα:	biosignals unsupervised classification spike sorting PCA K-means self-organizing maps
Διαθέσιμο Online:	https://www.mdpi.com/1999-4893/17/6/235
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