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008181129s2018 ||| | | | eng d
020 ▼a 9780438050464
035 ▼a (MiAaPQ)AAI10824382
035 ▼a (MiAaPQ)princeton:12628
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 574.191
1001 ▼a Klibaite, Ugne.
24510 ▼a Searching for Structure in the Social Behavior of Fruit Flies.
260 ▼a [S.l.] : ▼b Princeton University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 121 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Joshua W. Shaevitz.
5021 ▼a Thesis (Ph.D.)--Princeton University, 2018.
520 ▼a Social behaviors involve interaction and communication between multiple individuals and are frequently crucial to the success and survival of an animal in its environment. These interactions range across sensory modalities, length scales, and ti
520 ▼a I introduce a method for quantifying behavior of interacting fruit flies which combines high-throughput video acquisition and tracking of individuals with unsupervised learning methods for capturing an animal's entire behavioral repertoire. I ch
520 ▼a I introduce techniques to probe the structure of social behavior at various scales. Behavioral density maps provide a summary of behavior over long time scales and across many individuals, models of behavioral context dependence inform us how an
590 ▼a School code: 0181.
650 4 ▼a Biophysics.
650 4 ▼a Behavioral sciences.
690 ▼a 0786
690 ▼a 0602
71020 ▼a Princeton University. ▼b Quantitative Computational Biology.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0181
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998654 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자