Dynamic structure of locomotor behavior in walking fruit flies
The function of the brain is unlikely to be understood without an accurate description of its output, yet the nature of movement elements and their organization remains an open problem. Here, movement elements are identified from dynamics of walking in flies, using unbiased criteria. On one time sca...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2017-07-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/26410 |
| _version_ | 1811181407675875328 |
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| author | Alexander Y Katsov Limor Freifeld Mark Horowitz Seppe Kuehn Thomas R Clandinin |
| author_facet | Alexander Y Katsov Limor Freifeld Mark Horowitz Seppe Kuehn Thomas R Clandinin |
| author_sort | Alexander Y Katsov |
| collection | DOAJ |
| description | The function of the brain is unlikely to be understood without an accurate description of its output, yet the nature of movement elements and their organization remains an open problem. Here, movement elements are identified from dynamics of walking in flies, using unbiased criteria. On one time scale, dynamics of walking are consistent over hundreds of milliseconds, allowing elementary features to be defined. Over longer periods, walking is well described by a stochastic process composed of these elementary features, and a generative model of this process reproduces individual behavior sequences accurately over seconds or longer. Within elementary features, velocities diverge, suggesting that dynamical stability of movement elements is a weak behavioral constraint. Rather, long-term instability can be limited by the finite memory between these elementary features. This structure suggests how complex dynamics may arise in biological systems from elements whose combination need not be tuned for dynamic stability. |
| first_indexed | 2024-04-11T09:17:15Z |
| format | Article |
| id | doaj.art-96e7138f7d9345029a6f4573d5a0a67b |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-11T09:17:15Z |
| publishDate | 2017-07-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-96e7138f7d9345029a6f4573d5a0a67b2022-12-22T04:32:18ZengeLife Sciences Publications LtdeLife2050-084X2017-07-01610.7554/eLife.26410Dynamic structure of locomotor behavior in walking fruit fliesAlexander Y Katsov0https://orcid.org/0000-0003-2155-3790Limor Freifeld1Mark Horowitz2Seppe Kuehn3https://orcid.org/0000-0002-4130-6845Thomas R Clandinin4https://orcid.org/0000-0001-6277-6849Department of Neurobiology, Stanford University, Stanford, United StatesDepartment of Electrical Engineering, Stanford University, Stanford, United States; Research Laboratory of Electronics, MIT Electrical Engineering and Computer Science Department, Cambridge, United StatesDepartment of Electrical Engineering, Stanford University, Stanford, United StatesCenter for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, United States; Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, United States; Department of Physics, University of Illinois at Urbana-Champaign, Urbana, United StatesDepartment of Neurobiology, Stanford University, Stanford, United StatesThe function of the brain is unlikely to be understood without an accurate description of its output, yet the nature of movement elements and their organization remains an open problem. Here, movement elements are identified from dynamics of walking in flies, using unbiased criteria. On one time scale, dynamics of walking are consistent over hundreds of milliseconds, allowing elementary features to be defined. Over longer periods, walking is well described by a stochastic process composed of these elementary features, and a generative model of this process reproduces individual behavior sequences accurately over seconds or longer. Within elementary features, velocities diverge, suggesting that dynamical stability of movement elements is a weak behavioral constraint. Rather, long-term instability can be limited by the finite memory between these elementary features. This structure suggests how complex dynamics may arise in biological systems from elements whose combination need not be tuned for dynamic stability.https://elifesciences.org/articles/26410locomotionstatistical segmentationbehavior units |
| spellingShingle | Alexander Y Katsov Limor Freifeld Mark Horowitz Seppe Kuehn Thomas R Clandinin Dynamic structure of locomotor behavior in walking fruit flies eLife locomotion statistical segmentation behavior units |
| title | Dynamic structure of locomotor behavior in walking fruit flies |
| title_full | Dynamic structure of locomotor behavior in walking fruit flies |
| title_fullStr | Dynamic structure of locomotor behavior in walking fruit flies |
| title_full_unstemmed | Dynamic structure of locomotor behavior in walking fruit flies |
| title_short | Dynamic structure of locomotor behavior in walking fruit flies |
| title_sort | dynamic structure of locomotor behavior in walking fruit flies |
| topic | locomotion statistical segmentation behavior units |
| url | https://elifesciences.org/articles/26410 |
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