Emulation of chemical stimulus triggered head movement in the C. elegans nematode

COSTALAGO MERUELO, Alicia, MACHADO, Pedro, APPIAH, Kofi, MUJIKA, Andoni, LEŠKOVSKÝ, Peter, ALVAREZ, Roberto, EPELDE, Gorka and MCGINNITY, T. Martin (2018). Emulation of chemical stimulus triggered head movement in the C. elegans nematode. Neurocomputing.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.neucom.2018.02.024
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    Abstract

    For a considerable time, it has been the goal of computational neuroscientists to understand biological nervous systems. However, the vast complexity of such systems has made it very difficult to fully understand even basic functions such as movement. Because of its small neuron count, the C. elegans nematode offers the opportunity to study a fully described connectome and attempt to link neural network activity to behaviour. In this paper a simulation of the neural network in C. elegans that responds to chemical stimulus is presented and a consequent realistic head movement demonstrated. An evolutionary algorithm (EA) has been utilised to search for estimates of the values of the synaptic conductances and also to determine whether each synapse is excitatory or inhibitory in nature. The chemotaxis neural network was designed and implemented, using the parameterisation obtained with the EA, on the Si elegans platform a state-of-the-art hardware emulation platform specially designed to emulate the C. elegans nematode.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1016/j.neucom.2018.02.024
    Depositing User: Kofi Appiah
    Date Deposited: 13 Mar 2018 14:57
    Last Modified: 16 Nov 2018 14:05
    URI: http://shura.shu.ac.uk/id/eprint/18893

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