LDR | | 00000nmm u2200205 4500 |
001 | | 000000329879 |
005 | | 20241016160154 |
008 | | 181129s2018 ||| | | | eng d |
020 | |
▼a 9780438050464 |
035 | |
▼a (MiAaPQ)AAI10824382 |
035 | |
▼a (MiAaPQ)princeton:12628 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
049 | 1 |
▼f DP |
082 | 0 |
▼a 574.191 |
100 | 1 |
▼a Klibaite, Ugne. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a Princeton University.
▼b Quantitative Computational Biology. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998654
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자
▼b 관리자 |