Statistical structure of locomotion and its modulation by odors

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...

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Main Authors: Liangyu Tao, Siddhi Ozarkar, Jeffrey M Beck, Vikas Bhandawat
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-01-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/41235
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author Liangyu Tao
Siddhi Ozarkar
Jeffrey M Beck
Vikas Bhandawat
author_facet Liangyu Tao
Siddhi Ozarkar
Jeffrey M Beck
Vikas Bhandawat
author_sort Liangyu Tao
collection DOAJ
description 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.
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spelling doaj.art-850002e09a0548d189fafe48cabb6beb2022-12-22T03:52:28ZengeLife Sciences Publications LtdeLife2050-084X2019-01-01810.7554/eLife.41235Statistical structure of locomotion and its modulation by odorsLiangyu Tao0Siddhi Ozarkar1Jeffrey M Beck2Vikas Bhandawat3https://orcid.org/0000-0002-2608-0403Department of Biology, Duke University, Durham, United StatesDepartment of Biology, Duke University, Durham, United StatesDepartment of Neurobiology, Duke University, Durham, United StatesDepartment of Biology, Duke University, Durham, United States; Department of Neurobiology, Duke University, Durham, United States; Duke Institute for Brain Sciences, Duke University, Durham, United StatesMost 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.https://elifesciences.org/articles/41235Markov modelolfactionlocomotionbehavior
spellingShingle Liangyu Tao
Siddhi Ozarkar
Jeffrey M Beck
Vikas Bhandawat
Statistical structure of locomotion and its modulation by odors
eLife
Markov model
olfaction
locomotion
behavior
title Statistical structure of locomotion and its modulation by odors
title_full Statistical structure of locomotion and its modulation by odors
title_fullStr Statistical structure of locomotion and its modulation by odors
title_full_unstemmed Statistical structure of locomotion and its modulation by odors
title_short Statistical structure of locomotion and its modulation by odors
title_sort statistical structure of locomotion and its modulation by odors
topic Markov model
olfaction
locomotion
behavior
url https://elifesciences.org/articles/41235
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AT siddhiozarkar statisticalstructureoflocomotionanditsmodulationbyodors
AT jeffreymbeck statisticalstructureoflocomotionanditsmodulationbyodors
AT vikasbhandawat statisticalstructureoflocomotionanditsmodulationbyodors