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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Electrophysiological recordings of Paramecium with particle image velocimetry

Authors: Irene Elices; Anirudh Kulkarni; Nicolas Escoubet; Léa-Laetitia Pontani; Alexis Michel Prevost; Romain Brette;

Electrophysiological recordings of Paramecium with particle image velocimetry

Abstract

This work was supported by Agence Nationale de la Recherche (ANR-20-CE30-0025-01 and ANR-21-CE16-0013-02), Programme Investissements d'Avenir IHU FOReSIGHT (Grant ANR-18-IAHU-01), Fondation Pour l'Audition Grant FPA RD-2017-2, CNRS (Défi Mécanobiologie, project PERCEE), and Sorbonne Université (Emergence, project NEUROSWIM).

These files contain electrophysiological data as well as simultaneous video recordings and some analyses for the following paper: An electrophysiological and kinematic model of Paramecium, the “swimming neuron” Irene Elices, Anirudh Kulkarni, Nicolas Escoubet, Léa-Laetitia Pontani, Alexis Prevost, Romain Brette

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Keywords

electrophysiology; paramecium; ciliates

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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