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Model-based spike sorting with a mixture of drifting t-distributions
BACKGROUND: Chronic extracellular recordings are a powerful tool for systems neuroscience, but spike sorting remains a challenge. A common approach is to fit a generative model, such as a mixture of Gaussians, to the observed spike data. Even if non-parametric methods are used for spike sorting, suc...
Gardado en:
| Publicado en: | J Neurosci Methods |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5563448/ https://ncbi.nlm.nih.gov/pubmed/28652008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2017.06.017 |
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