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  • 标题:Predictability and hierarchy in Drosophila behavior
  • 作者:Gordon J. Berman ; William Bialek ; Joshua W. Shaevitz
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2016
  • 卷号:113
  • 期号:42
  • 页码:11943-11948
  • DOI:10.1073/pnas.1607601113
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Even the simplest of animals exhibit behavioral sequences with complex temporal dynamics. Prominent among the proposed organizing principles for these dynamics has been the idea of a hierarchy, wherein the movements an animal makes can be understood as a set of nested subclusters. Although this type of organization holds potential advantages in terms of motion control and neural circuitry, measurements demonstrating this for an animal’s entire behavioral repertoire have been limited in scope and temporal complexity. Here, we use a recently developed unsupervised technique to discover and track the occurrence of all stereotyped behaviors performed by fruit flies moving in a shallow arena. Calculating the optimally predictive representation of the fly’s future behaviors, we show that fly behavior exhibits multiple time scales and is organized into a hierarchical structure that is indicative of its underlying behavioral programs and its changing internal states.
  • 关键词:behavior ; hierarchy ; Drosophila ; information bottleneck
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