Multilayer network analysis of C. elegans: Looking into the locomotory circuitry

NEUROCOMPUTING

卷:427

Article

Maertens, Thomas¹  Schoell, Eckehard^1,2  Ruiz, Jorge^1,2  Hoevel, Philipp^1,2,3 

[1] Tech Univ Berlin, Inst Theoret Phys, Hardenbergstr 36, D-10623 Berlin, Germany

[2] Humboldt Univ, Bernstein Ctr Computat Neurosci Berlin, Berlin, Germany

[3] Univ Coll Cork, Sch Math Sci, Western Rd, Cork T12 XF64, Ireland

关键词: Connectome of C. elegans;    Multilayer networks;    Neuronal dynamics;    Central pattern generators;    Motion behavior;    Harmonic waves;    Synchronization;    Feedback control;    Hindmarsh-Rose model;   

DOI  :  10.1016/j.neucom.2020.11.015

来源: Elsevier

【 摘 要 】

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. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

【 授权许可】

Free