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

2020/06/15 by Thomas Maertens, Eckehard Schöll, Maertens, Thomas +5
Biochemistry, Genetics and Molecular Biology · Environmental Science · Neuroscience · #Adaptation and Self-Organizing Systems (nlin.AO) #Circadian rhythm and melatonin #FOS: Biological sciences #FOS: Physical sciences #Genetics, Aging, and Longevity in Model Organisms #Neurons and Cognition (q-bio.NC) #Sustainability and Ecological Systems Analysis

paper · pdf · doi:10.48550/arxiv.2006.08771

openalex publication_date 2020/06/15 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28

Abstract

We investigate how locomotory behavior is generated in the brain focusing on\nthe paradigmatic connectome of nematode Caenorhabditis elegans (C. elegans) and\non neuronal activity patterns that control forward locomotion. We map the\nneuronal network of the worm as a multilayer network that takes into account\nvarious neurotransmitters and neuropeptides. Using logistic regression\nanalysis, we predict the neurons of the locomotory subnetwork. Combining\nHindmarsh-Rose equations for neuronal activity with a leaky integrator model\nfor muscular activity, we study the dynamics within this subnetwork and predict\nthe forward locomotion of the worm using a harmonic wave model. The application\nof time-delayed feedback control reveals synchronization effects that\ncontribute to a coordinated locomotion of C. elegans. Analyzing the\nsynchronicity when the activity of certain neurons is silenced informs us about\ntheir significance for a coordinated locomotory behavior. Since the information\nprocessing is the same in humans and C. elegans, the study of the locomotory\ncircuitry provides new insights for understanding how the brain generates\nmotion behavior.\n

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