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Machine Learning for Automatic Prediction of the Quality of Electrophysiological Recordings
The quality of electrophysiological recordings varies a lot due to technical and biological variability and neuroscientists inevitably have to select “good” recordings for further analyses. This procedure is time-consuming and prone to selection biases. Here, we investigate replacing human decisions...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851757/ https://www.ncbi.nlm.nih.gov/pubmed/24324634 http://dx.doi.org/10.1371/journal.pone.0080838 |