| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330182 |
| 005 | | 20241025142904 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438170551 |
| 035 | |
▼a (MiAaPQ)AAI10748825 |
| 035 | |
▼a (MiAaPQ)nyu:13176 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 574.191 |
| 100 | 1 |
▼a Gepner, Ruben. |
| 245 | 10 |
▼a Linking Sensory Experience and Behavioral Decisions to Study the Computations of a Small Brain. |
| 260 | |
▼a [S.l.] :
▼b New York University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 140 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Marc Gershow. |
| 502 | 1 |
▼a Thesis (Ph.D.)--New York University, 2018. |
| 520 | |
▼a In order to survive, organisms must use information received from their environment and respond to it in appropriate ways. Nervous systems have proved an effective solution to this challenge, allowing animals to gather environmental cues through |
| 520 | |
▼a Drosophila melanogaster, the common fruit fly, is a rich model organism for the study of neural processes. Rich genetic tools have been developed that allow us to manipulate and observe the activity of individual neurons throughout its brain. Th |
| 520 | |
▼a In this work, we use optogenetic tools to precisely control the inputs to individual sensory neurons of freely crawling larvae, together with video analysis of their motion and mathematical models to decode how sensory inputs are transformed int |
| 590 | |
▼a School code: 0146. |
| 650 | 4 |
▼a Biophysics. |
| 690 | |
▼a 0786 |
| 710 | 20 |
▼a New York University.
▼b Physics. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0146 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997011
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |