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A novel and fully automatic spike-sorting implementation with variable number of features
The most widely used spike-sorting algorithms are semiautomatic in practice, requiring manual tuning of the automatic solution to achieve good performance. In this work, we propose a new fully automatic spike-sorting algorithm that can capture multiple clusters of different sizes and densities. In a...
Uloženo v:
| Vydáno v: | J Neurophysiol |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Physiological Society
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6230803/ https://ncbi.nlm.nih.gov/pubmed/29995603 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/jn.00339.2018 |
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