Fluctuation-Driven Neural Dynamics Reproduce Drosophila Locomotor Patterns.

Détails

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Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_A6B578E1EFE3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Fluctuation-Driven Neural Dynamics Reproduce Drosophila Locomotor Patterns.
Périodique
Plos Computational Biology
Auteur(s)
Maesani A., Ramdya P., Cruchet S., Gustafson K., Benton R., Floreano D.
ISSN
1553-7358 (Electronic)
ISSN-L
1553-734X
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
11
Numéro
11
Pages
e1004577
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: epublish
Résumé
The neural mechanisms determining the timing of even simple actions, such as when to walk or rest, are largely mysterious. One intriguing, but untested, hypothesis posits a role for ongoing activity fluctuations in neurons of central action selection circuits that drive animal behavior from moment to moment. To examine how fluctuating activity can contribute to action timing, we paired high-resolution measurements of freely walking Drosophila melanogaster with data-driven neural network modeling and dynamical systems analysis. We generated fluctuation-driven network models whose outputs-locomotor bouts-matched those measured from sensory-deprived Drosophila. From these models, we identified those that could also reproduce a second, unrelated dataset: the complex time-course of odor-evoked walking for genetically diverse Drosophila strains. Dynamical models that best reproduced both Drosophila basal and odor-evoked locomotor patterns exhibited specific characteristics. First, ongoing fluctuations were required. In a stochastic resonance-like manner, these fluctuations allowed neural activity to escape stable equilibria and to exceed a threshold for locomotion. Second, odor-induced shifts of equilibria in these models caused a depression in locomotor frequency following olfactory stimulation. Our models predict that activity fluctuations in action selection circuits cause behavioral output to more closely match sensory drive and may therefore enhance navigation in complex sensory environments. Together these data reveal how simple neural dynamics, when coupled with activity fluctuations, can give rise to complex patterns of animal behavior.
Mots-clé
Animals, Behavior, Animal/physiology, Cluster Analysis, Computational Biology, Drosophila melanogaster/physiology, Locomotion/physiology, Models, Neurological, Neurons/physiology, Olfactory Perception/physiology
Pubmed
Web of science
Open Access
Oui
Création de la notice
03/01/2016 16:43
Dernière modification de la notice
20/08/2019 15:11
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