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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2019-01-01
|
Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/41235 |
_version_ | 1811200717771243520 |
---|---|
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. |
first_indexed | 2024-04-12T02:08:00Z |
format | Article |
id | doaj.art-850002e09a0548d189fafe48cabb6beb |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-12T02:08:00Z |
publishDate | 2019-01-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
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 |
work_keys_str_mv | AT liangyutao statisticalstructureoflocomotionanditsmodulationbyodors AT siddhiozarkar statisticalstructureoflocomotionanditsmodulationbyodors AT jeffreymbeck statisticalstructureoflocomotionanditsmodulationbyodors AT vikasbhandawat statisticalstructureoflocomotionanditsmodulationbyodors |