C. elegans locomotion analysis using algorithmic information theory
R Skandari, N Le Bihan, JH Manton
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE | IEEE | Published : 2015
This article investigates the use of algorithmic information theory to analyse C. elegans datasets. The ability of complexity measures to detect similarity in animals' behaviours is demonstrated and their strengths are compared to methods such as histograms. Introduced quantities are illustrated on a couple of real two-dimensional C. elegans datasets to investigate the thermotaxis and chemotaxis behaviours.