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License: CC BY NC
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Code for "Gap junctions desynchronize a neural circuit to stabilize insect flight"

Authors: Nelson Niemeyer; Silvan Hürkey; Jan-Hendrik Schleimer; Stefanie Ryglewski; Susanne Schreiber; Carsten Duch;

Code for "Gap junctions desynchronize a neural circuit to stabilize insect flight"

Abstract

This code produces the figures F3B, F3C, F3D, F3E, F3H, and F3J in the manuscript "Gap junctions desynchronize a neural circuit to stabilize insect flight". The published article can now be found at DOI: 10.1038/s41586-023-06099-0 Overview: A small circuit is simulated, which consists of five motoneurons that innervate the dorsal longitudinal wing depressor muscle of Drosophila melanogaster. Each motoneuron is described by a single-compartment model based on Berger et al. (2015). Five identical single-neuron models are coupled by linear non-rectifying gap junction currents. Then, channel conductances, input currents, and coupling strengths are varied. The resulting outputs are compared to experimentally observed firing patterns. Please see the main manuscript for details. Additional information: Instructions for installation and running the code can be found in the README. The data folder contains experimentally recorded spike trains for the comparison between models and experiments in Figures F3D and F3H. Please note that the data for the other figures have been uploaded separately and can be found at DOI: 10.5281/zenodo.7737730

{"references": ["Berger SD, Crook SM. Modeling the Influence of Ion Channels on Neuron Dynamics in Drosophila. Front Comput Neurosci. 2015 Nov 18;9:139. doi: 10.3389/fncom.2015.00139."]}

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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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