title: C. elegans locomotion analysis using algorithmic information theory.
abstract: 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.
authors.forename: Roghieh
authors.initials: R
authors.lastname: Skandari
authors.forename: Nicolas
authors.initials: N
authors.lastname: Le Bihan
authors.forename: Jonathan H
authors.initials: JH
authors.lastname: Manton
mesh_terms: D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal; D017173:Caenorhabditis elegans / Q000502:physiology*; D002633:Chemotaxis; D007257:Information Theory; D008124:Locomotion; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D013696:Temperature