Machine Learning for Automatic Prediction of the Quality of Electrophysiological Recordings

Open Access

Peer-reviewed

Research Article

Thomas Nowotny ,

* E-mail: t.nowotny@sussex.ac.uk

Affiliation Sussex Neuroscience and Centre for Computational Neuroscience and Robotics, University of Sussex, Brighton, United Kingdom
⨯
Jean-Pierre Rospars,

Affiliation Physiologie de l’Insecte: Signalisation et Communication, Institut National de la Recherche Agronomique, and Université Pierre et Marie Curie, Versailles, France
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Dominique Martinez,

Affiliation Laboratoire Lorrain de Recherche en Informatique et ses Applications, Centre National de la Recherche Scientifique, Vandœuvre-lès-Nancy, France
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Shereen Elbanna,

Current address: Zoology Department, Faculty of Science, Suez Canal University, Ismailia, Egypt

Affiliation Physiologie de l’Insecte: Signalisation et Communication, Institut National de la Recherche Agronomique, and Université Pierre et Marie Curie, Versailles, France
⨯
Sylvia Anton

Current address: Laboratoire Récepteurs et Canaux Ioniques Membranaires, Institut National de la Recherche Agronomique and Université d’Angers, Angers, France

Affiliation Physiologie de l’Insecte: Signalisation et Communication, Institut National de la Recherche Agronomique, and Université Pierre et Marie Curie, Versailles, France
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Membrane potential
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Electrophysiology
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Data acquisition
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