Statistical structure of locomotion and its modulation by odors.

Published

Journal Article

Most behaviors such as making tea are not stereotypical but have an obvious structure. However, analytical methods to objectively extract structure from non-stereotyped behaviors are immature. In this study, we analyze the locomotion of fruit flies and show that this non-stereotyped behavior is well-described by a Hierarchical Hidden Markov Model (HHMM). HHMM shows that a fly's locomotion can be decomposed into a few locomotor features, and odors modulate locomotion by altering the time a fly spends performing different locomotor features. Importantly, although all flies in our dataset use the same set of locomotor features, individual flies vary considerably in how often they employ a given locomotor feature, and how this usage is modulated by odor. This variation is so large that the behavior of individual flies is best understood as being grouped into at least three to five distinct clusters, rather than variations around an average fly.

Full Text

Duke Authors

Cited Authors

  • Tao, L; Ozarkar, S; Beck, JM; Bhandawat, V

Published Date

  • January 8, 2019

Published In

Volume / Issue

  • 8 /

PubMed ID

  • 30620334

Pubmed Central ID

  • 30620334

Electronic International Standard Serial Number (EISSN)

  • 2050-084X

International Standard Serial Number (ISSN)

  • 2050-084X

Digital Object Identifier (DOI)

  • 10.7554/eLife.41235

Language

  • eng