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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...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3851757/ https://ncbi.nlm.nih.gov/pubmed/24324634 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0080838 |
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