Machine learning for automatic prediction of the quality of electrophysiological recordings

T Nowotny, JP Rospars, D Martinez, S Elbanna… - Plos one, 2013 - journals.plos.org
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 by a machine learning approach. We define 16
features, such as spike height and width, select the most informative ones using a wrapper
method and train a classifier to reproduce the judgement of one of our expert …

[PDF][PDF] Machine Learning for Automatic Prediction of the Quality of Electrophysiological

T Nowotny, JP Rospars, D Martinez, S Elbanna… - 2013 - academia.edu
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 by a machine learning approach. We define 16
features, such as spike height and width, select the most informative ones using a wrapper
method and train a classifier to reproduce the judgement of one of our expert …
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