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

We investigate how locomotory behavior is generated in the brain focusing on paradigmatic connectome of nematode Caenorhabditis elegans (C. elegans) and neuronal muscular activity patterns that control forward locomotion. map network worm as a multilayer takes into account various neurotransmitters neuropeptides. Using logistic regression analysis, we predict neurons subnetwork. Combining Hindmarsh-Rose equations for with leaky integrator model activity, study dynamics within this subnetwork locomotion using harmonic wave model. The application time-delayed feedback reveals synchronization contribute to coordinated C. elegans. Analyzing synchronicity when certain silenced informs us about their significance behavior. Since information processing same humans elegans, circuitry provides new insights understanding generates motion