Tracking activity patterns of a multispecies community of gymnotiform weakly electric fish in their neotropical habitat without tagging.


Journal

The Journal of experimental biology
ISSN: 1477-9145
Titre abrégé: J Exp Biol
Pays: England
ID NLM: 0243705

Informations de publication

Date de publication:
10 02 2020
Historique:
received: 30 04 2019
accepted: 06 01 2020
pubmed: 16 1 2020
medline: 15 12 2020
entrez: 16 1 2020
Statut: epublish

Résumé

Field studies on freely behaving animals commonly require tagging and often are focused on single species. Weakly electric fish generate a species- and individual-specific electric organ discharge (EOD) and therefore provide a unique opportunity for individual tracking without tagging. Here, we present and test tracking algorithms based on recordings with submerged electrode arrays. Harmonic structures extracted from power spectra provide fish identity. Localization of fish based on weighted averages of their EOD amplitudes is found to be more robust than fitting a dipole model. We apply these techniques to monitor a community of three species,

Identifiants

pubmed: 31937524
pii: jeb.206342
doi: 10.1242/jeb.206342
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2020. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing or financial interests.

Auteurs

Jörg Henninger (J)

Institut für Neurobiologie, Eberhard Karls Universität, 72076 Tübingen, Germany jan.benda@uni-tuebingen.de joerg.henninger@posteo.de.

Rüdiger Krahe (R)

Institut für Biologie, Humboldt-Universität zu Berlin, Philippstr. 13, 10115 Berlin, Germany.
McGill University, Department of Biology, 1205 Ave. Docteur Penfield, Montreal, Quebec, Canada, H3A 1B1.

Fabian Sinz (F)

Bernstein Center for Computational Neuroscience, Eberhard Karls Universität, 72076 Tübingen, Germany.
Institut für Informatik, Eberhard Karls Univzersität, 72076 Tübingen, Germany.
Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA.

Jan Benda (J)

Institut für Neurobiologie, Eberhard Karls Universität, 72076 Tübingen, Germany jan.benda@uni-tuebingen.de joerg.henninger@posteo.de.
Bernstein Center for Computational Neuroscience, Eberhard Karls Universität, 72076 Tübingen, Germany.

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Classifications MeSH