White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

An integrated neuro-mechanical model of C. elegans forward locomotion

Boyle, J.H., Bryden, J. and Cohen, N. (2007) An integrated neuro-mechanical model of C. elegans forward locomotion. In: Neural Information Processing. 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I. ICONIP 2007, November 13-16, 2007, Kitakyushu, Japan. Lecture Notes in Computer Science (4984). Springer , Berlin / Heidelberg , pp. 37-47. ISBN 978-3-540-69154-9

Available under licence : See the attached licence file.

Download (294Kb)


One of the most tractable organisms for the study of nervous systems is the nematode Caenorhabditis elegans, whose locomotion in particular has been the subject of a number of models. In this paper we present a first integrated neuro-mechanical model of forward locomotion. We find that a previous neural model is robust to the addition of a body with mechanical properties, and that the integrated model produces oscillations with a more realistic frequency and waveform than the neural model alone. We conclude that the body and environment are likely to be important components of the worm’s locomotion subsystem.

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: © 2008 Springer. This is an author produced version of a paper subsequently published in 'Lecture Notes in Computer Science'. Uploaded in accordance with the publisher's self-archiving policy.
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Miss Jamie Grant
Date Deposited: 10 Mar 2009 19:19
Last Modified: 11 Jun 2014 09:44
Published Version: http://dx.doi.org/10.1007/978-3-540-69158-7_5
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: 10.1007/978-3-540-69158-7_5
URI: http://eprints.whiterose.ac.uk/id/eprint/7950

Actions (repository staff only: login required)