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Mapping the stereotyped behaviour of freely moving fruit flies
A frequent assumption in behavioural science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here, we introduce a method for mapping an animal's actions, relying only upon the underlying structure of postural movement data to organize...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4233753/ https://www.ncbi.nlm.nih.gov/pubmed/25142523 http://dx.doi.org/10.1098/rsif.2014.0672 |
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author | Berman, Gordon J. Choi, Daniel M. Bialek, William Shaevitz, Joshua W. |
author_facet | Berman, Gordon J. Choi, Daniel M. Bialek, William Shaevitz, Joshua W. |
author_sort | Berman, Gordon J. |
collection | PubMed |
description | A frequent assumption in behavioural science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here, we introduce a method for mapping an animal's actions, relying only upon the underlying structure of postural movement data to organize and classify behaviours. Applying this method to the ground-based behaviour of the fruit fly, Drosophila melanogaster, we find that flies perform stereotyped actions roughly 50% of the time, discovering over 100 distinguishable, stereotyped behavioural states. These include multiple modes of locomotion and grooming. We use the resulting measurements as the basis for identifying subtle sex-specific behavioural differences and revealing the low-dimensional nature of animal motions. |
format | Online Article Text |
id | pubmed-4233753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-42337532014-11-24 Mapping the stereotyped behaviour of freely moving fruit flies Berman, Gordon J. Choi, Daniel M. Bialek, William Shaevitz, Joshua W. J R Soc Interface Research Articles A frequent assumption in behavioural science is that most of an animal's activities can be described in terms of a small set of stereotyped motifs. Here, we introduce a method for mapping an animal's actions, relying only upon the underlying structure of postural movement data to organize and classify behaviours. Applying this method to the ground-based behaviour of the fruit fly, Drosophila melanogaster, we find that flies perform stereotyped actions roughly 50% of the time, discovering over 100 distinguishable, stereotyped behavioural states. These include multiple modes of locomotion and grooming. We use the resulting measurements as the basis for identifying subtle sex-specific behavioural differences and revealing the low-dimensional nature of animal motions. The Royal Society 2014-10-06 /pmc/articles/PMC4233753/ /pubmed/25142523 http://dx.doi.org/10.1098/rsif.2014.0672 Text en http://creativecommons.org/licenses/by/4.0/ © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Research Articles Berman, Gordon J. Choi, Daniel M. Bialek, William Shaevitz, Joshua W. Mapping the stereotyped behaviour of freely moving fruit flies |
title | Mapping the stereotyped behaviour of freely moving fruit flies |
title_full | Mapping the stereotyped behaviour of freely moving fruit flies |
title_fullStr | Mapping the stereotyped behaviour of freely moving fruit flies |
title_full_unstemmed | Mapping the stereotyped behaviour of freely moving fruit flies |
title_short | Mapping the stereotyped behaviour of freely moving fruit flies |
title_sort | mapping the stereotyped behaviour of freely moving fruit flies |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4233753/ https://www.ncbi.nlm.nih.gov/pubmed/25142523 http://dx.doi.org/10.1098/rsif.2014.0672 |
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