Cargando…
Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data
Unsupervised, data-driven methods are commonly used in neuroscience to automatically decompose data into interpretable patterns. These patterns differ from one another depending on the assumptions of the models. How these assumptions affect specific data decompositions in practice, however, is often...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Physiological Society
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625837/ https://www.ncbi.nlm.nih.gov/pubmed/37403598 http://dx.doi.org/10.1152/jn.00054.2023 |