Supervised learning algorithm for analysis of communication signals in the weakly electric fish Apteronotus leptorhynchus

Signal analysis plays a preeminent role in neuroethological research. Traditionally, signal identification has been based on pre-defined signal (sub-)types, thus being subject to the investigator’s bias. To address this deficiency, we have developed a supervised learning algorithm for the detection...

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Veröffentlicht in:Journal of Comparative Physiology 2024-05, Vol.210 (3), p.443-458
Hauptverfasser: Lehotzky, Dávid, Zupanc, Günther K. H.
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Sprache:eng
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