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An Accurate and Robust Method for Spike Sorting Based on Convolutional Neural Networks
In the fields of neuroscience and biomedical signal processing, spike sorting is a crucial step to extract the information of single neurons from extracellular recordings. In this paper, we propose a novel deep learning approach based on one-dimensional convolutional neural networks (1D-CNNs) to imp...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696441/ https://www.ncbi.nlm.nih.gov/pubmed/33187098 http://dx.doi.org/10.3390/brainsci10110835 |