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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |