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Efficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales
Efficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534672978
- DDC
- 519
- 저자명
- Yonar, Abdullah.
- 서명/저자
- Efficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales
- 발행사항
- [Sl] : Harvard University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 142 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Ramanathan, S.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Applied mathematics
- 일반주제명
- Physiology
- 일반주제명
- Cellular biology
- 일반주제명
- Neurosciences
- 일반주제명
- Biomechanics
- 일반주제명
- Sparsity
- 일반주제명
- Neurons
- 일반주제명
- Animals
- 일반주제명
- Experiments
- 일반주제명
- Neural networks
- 일반주제명
- Genetic engineering
- 일반주제명
- Dissertations & theses
- 일반주제명
- Data analysis
- 일반주제명
- Nervous system
- 일반주제명
- Correlation analysis
- 일반주제명
- Advisors
- 일반주제명
- Foraging behavior
- 일반주제명
- Genotype & phenotype
- 키워드
- Sensing
- 키워드
- State transition
- 기타저자
- Harvard University Engineering and Applied Sciences - Applied Math
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■035 ▼a(MiAaPQ)AAI28322432
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519
■1001 ▼aYonar, Abdullah.▼0(orcid)0000-0002-4461-5029
■24510▼aEfficient Identification and Dissection of Key Neural Circuits Controlling Behavior across Different Time Scales
■260 ▼a[Sl]▼bHarvard University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a142 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Ramanathan, S.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0084.
■650 4▼aApplied mathematics
■650 4▼aPhysiology
■650 4▼aCellular biology
■650 4▼aNeurosciences
■650 4▼aBiomechanics
■650 4▼aSparsity
■650 4▼aNeurons
■650 4▼aAnimals
■650 4▼aExperiments
■650 4▼aNeural networks
■650 4▼aGenetic engineering
■650 4▼aDissertations & theses
■650 4▼aData analysis
■650 4▼aNervous system
■650 4▼aCorrelation analysis
■650 4▼aAdvisors
■650 4▼aForaging behavior
■650 4▼aGenotype & phenotype
■653 ▼aCompressed sensing-based framework
■653 ▼aNon-specific genetic tools
■653 ▼aSensing
■653 ▼aState transition
■653 ▼aPersistent behavioral states
■690 ▼a0364
■690 ▼a0379
■690 ▼a0317
■690 ▼a0648
■690 ▼a0719
■71020▼aHarvard University▼bEngineering and Applied Sciences - Applied Math.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051426▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
