Functional clustering of neuronal signals with FMM mixture models

The identification of unlabeled neuronal electric signals is one of the most challenging open problems in neuroscience, widely known as Spike Sorting. Motivated to solve this problem, we propose a model-based approach within the mixture modeling framework for clustering oscillatory functional data c...

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Detalles Bibliográficos
Autores principales: Rueda, Cristina, Rodríguez-Collado, Alejandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589779/
https://www.ncbi.nlm.nih.gov/pubmed/37867904
http://dx.doi.org/10.1016/j.heliyon.2023.e20639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589779/
https://www.ncbi.nlm.nih.gov/pubmed/37867904
http://dx.doi.org/10.1016/j.heliyon.2023.e20639

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