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Dynamic range in the C.elegans brain network

Antonopoulos, CG (2016) 'Dynamic range in the C.elegans brain network.' Chaos: An Interdisciplinary Journal of Nonlinear Science, 26 (1). 013102-013102. ISSN 1054-1500

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Abstract

We study external electrical perturbations and their responses in the brain dynamic network of the Caenorhabditis eleganssoil worm, given by the connectome of its large somatic nervous system. Our analysis is inspired by a realistic experiment where one stimulates externally specific parts of the brain and studies the persistent neural activity triggered in other cortical regions. In this work, we perturb groups of neurons that form communities, identified by the walktrap community detection method, by trains of stereotypical electrical Poissonian impulses and study the propagation of neural activity to other communities by measuring the corresponding dynamic ranges and Steven law exponents. We show that when one perturbs specific communities, keeping the rest unperturbed, the external stimulations are able to propagate to some of them but not to all. There are also perturbations that do not trigger any response. We found that this depends on the initially perturbed community. Finally, we relate our findings for the former cases with low neural synchronization, self-criticality, and large information flow capacity, and interpret them as the ability of the brainnetwork to respond to external perturbations when it works at criticality and its information flow capacity becomes maximal.

Item Type: Article
Additional Information: 9 pages, 6 figures, accepted for publication in Chaos: An Interdisciplinary Journal of Nonlinear Science
Uncontrolled Keywords: Brain; Nerve Net; Neurons; Animals; Caenorhabditis elegans; Electric Stimulation; Numerical Analysis, Computer-Assisted
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 08 Jul 2016 08:56
Last Modified: 15 Jan 2022 00:43
URI: http://repository.essex.ac.uk/id/eprint/17234

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