Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-14767
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Main Title: Multilayer network analysis of C. elegans: Looking into the locomotory circuitry
Author(s): Maertens, Thomas
Schöll, Eckehard
Ruiz, Jorge
Hövel, Philipp
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/15994
http://dx.doi.org/10.14279/depositonce-14767
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: We investigate how locomotory behavior is generated in the brain focusing on the paradigmatic connectome of nematode Caenorhabditis elegans (C. elegans) and on neuronal and muscular activity patterns that control forward locomotion. We map the neuronal network of the worm as a multilayer network that takes into account various neurotransmitters and neuropeptides. Using logistic regression analysis, we predict the neurons of the locomotory subnetwork. Combining Hindmarsh-Rose equations for neuronal activity with a leaky integrator model for muscular activity, we study the dynamics within this subnetwork and predict the forward locomotion of the worm using a harmonic wave model. The application of time-delayed feedback control reveals synchronization patterns that contribute to a coordinated locomotion of C. elegans. Analyzing the synchronicity when the activity of certain neurons is silenced informs us about their significance for a coordinated locomotory behavior. Since the information processing is the same in humans and C. elegans, the study of the locomotory circuitry provides new insights for understanding how the brain generates motion behavior.
Subject(s): connectome of C. elegans
multilayer networks
neuronal dynamics
central pattern generators
motion behavior
harmonic waves
synchronization
feedback control
Hindmarsh-Rose model
Issue Date: 2021
Date Available: 21-Dec-2021
Language Code: en
DDC Class: 530 Physik
Journal Title: Neurocomputing
Publisher: Elsevier
Volume: 427
Publisher DOI: 10.1016/j.neucom.2020.11.015
Page Start: 238
Page End: 261
EISSN: 1872-8286
ISSN: 0925-2312
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Theoretische Physik » FG Nichtlineare Dynamik und Kontrolle
Appears in Collections:Technische Universität Berlin » Publications

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