Dynamical Complexity in the C.elegans Neural Network

@inproceedings{Antonopoulos2015DynamicalCI,
  title={Dynamical Complexity in the C.elegans Neural Network},
  author={Chris Antonopoulos and Athanasios S. Fokas and T. Bountis},
  year={2015}
}
We model the neuronal circuit of the C.elegans soil worm in terms of Hindmarsh-Rose systems of ordinary differential equations, dividing its circuit into six communities pointed out by the walktrap and Louvain methods. Using the numerical solution of these equations, we analyze important measures of dynamical complexity, namely synchronicity, the largest Lyapunov exponent, and the ΦAR auto-regressive integrated information theory measure, which has been suggested to reflect different levels of… CONTINUE READING
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