Statistical structure of locomotion and its modulation by odors Article Swipe
L. Y. Tao
,
Siddhi Ozarkar
,
Jeffrey M. Beck
,
Vikas Bhandawat
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.7554/elife.41235
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.7554/elife.41235
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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.41235
- OA Status
- gold
- Cited By
- 42
- References
- 69
- Related Works
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- OpenAlex ID
- https://openalex.org/W2949942350
All OpenAlex metadata
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https://openalex.org/W2949942350Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7554/elife.41235Digital Object Identifier
- Title
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Statistical structure of locomotion and its modulation by odorsWork title
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articleOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-01-08Full publication date if available
- Authors
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L. Y. Tao, Siddhi Ozarkar, Jeffrey M. Beck, Vikas BhandawatList of authors in order
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https://doi.org/10.7554/elife.41235Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.7554/elife.41235Direct OA link when available
- Concepts
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Odor, Set (abstract data type), Locomotor activity, Biology, Animal behavior, Contrast (vision), Communication, Computer science, Artificial intelligence, Neuroscience, Psychology, Zoology, Programming language, EndocrinologyTop concepts (fields/topics) attached by OpenAlex
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42Total citation count in OpenAlex
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2025: 2, 2024: 3, 2023: 3, 2022: 8, 2021: 5Per-year citation counts (last 5 years)
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69Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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