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Efficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Efficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales. |
| 개인저자 | Yonar, Abdullah. |
| 단체저자명 | Harvard University. Engineering and Applied Sciences - Applied Math. |
| 발행사항 | [S.l.]: Harvard University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 142 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798534672978 |
| 학위논문주기 | Thesis (Ph.D.)--Harvard University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Ramanathan, S. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Applied mathematics. Physiology. Cellular biology. Neurosciences. Biomechanics. Sparsity. Neurons. Animals. Experiments. Neural networks. Genetic engineering. Dissertations & theses. Data analysis. Nervous system. Correlation analysis. Advisors. Foraging behavior. Genotype & phenotype. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
