A. C. Meruelo, Pedro Machado, Kofi Appiah, T. McGinnity
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Si elegans: A Computational Model of C. elegans Muscle Response to Light
It has long been the goal of computational neuroscientists
to understand animal nervous systems, but their
vast complexity has made it very difficult to fully understand even basic functions such as movement. The C.
elegans nematode offers the opportunity to study a fully described connectome and link neural network to behaviour.
In this paper a model of the responses of the body wall
muscle in C. elegans to a random light stimulus is presented. An algorithm has been developed that tracks synapses in the nematode nervous system from the stimulus in the phototaxis sensory neurons to the muscles cells. A linear second order model was used to calculate the isometric force in each of the C. elegans body wall muscle cells. The isometric force calculated resembles that of previous investigations in muscle modelling.