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Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions- [electronic resource]
Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100452
- ISBN
- 9798379605582
- DDC
- 620.5
- 저자명
- Tseng, Shih-Yi.
- 서명/저자
- Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions - [electronic resource]
- 발행사항
- [S.l.]: : Harvard University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(150 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Harvey, Christopher D.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약During navigation in dynamic environments, animals adaptively incorporate sensory information into a plan to guide their movements. The neural underpinning of this behavior must integrate sensory processing, navigation planning, and motor execution, and furthermore adapt the rules governing their integration based on experience. In this work we investigated the organizing principles of neural representations in mouse posterior cortex during dynamic navigation decisions. We trained mice to perform a virtual navigation task based on rule switches and developed behavioral models to infer latent cognitive processes of distinct timescales. Mice exhibited diverse decision-making strategies across trials that influenced the dynamics of choice formation within a trial, which was embodied in running trajectories. Using two-photon calcium imaging, we densely sampled activity from large populations of neurons in posterior cortex and characterized the distribution of single-neuron encoding of various sensory, motor, and cognitive variables across areas. We found that, while neural encoding was highly distributed across posterior cortex, it was well-described with three spatially distinct gradients for visual cue, spatial position plus dynamics of choice formation, and locomotion, with peaks in visual, retrosplenial, and posterior parietal cortices, respectively. We then compared the conjunctive structures of single-neuron encoding and the population geometry of neural representations for multiple variables across areas to test whether these areas specialize in the ways they combine different variables to serve distinct computations. Surprisingly, all areas combined variables similarly instead of creating unique conjunctions of variables, resulting in a high-dimensional, complex representation of variable conjunctions shared across areas. These results lead us to infer that for navigation posterior cortical areas are functionally organized not in a hierarchy but in parallel, where areas are specialized to handle streams of information for distinct modalities but work coherently to synthesize a general-purpose state representation of the environment and behavior that can guide dynamic navigation decisions.
- 일반주제명
- Nanoscience.
- 일반주제명
- Cellular biology.
- 일반주제명
- Animal sciences.
- 키워드
- Calcium imaging
- 키워드
- Decision-making
- 키워드
- Navigation
- 키워드
- Virtual reality
- 기타저자
- Harvard University Medical Sciences
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100452
■006m o d
■007cr#unu||||||||
■020 ▼a9798379605582
■035 ▼a(MiAaPQ)AAI30492114
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a620.5
■1001 ▼aTseng, Shih-Yi.▼0(orcid)0000-0002-5029-433X
■24510▼aOrganization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions▼h[electronic resource]
■260 ▼a[S.l.]:▼bHarvard University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(150 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.
■500 ▼aAdvisor: Harvey, Christopher D.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aDuring navigation in dynamic environments, animals adaptively incorporate sensory information into a plan to guide their movements. The neural underpinning of this behavior must integrate sensory processing, navigation planning, and motor execution, and furthermore adapt the rules governing their integration based on experience. In this work we investigated the organizing principles of neural representations in mouse posterior cortex during dynamic navigation decisions. We trained mice to perform a virtual navigation task based on rule switches and developed behavioral models to infer latent cognitive processes of distinct timescales. Mice exhibited diverse decision-making strategies across trials that influenced the dynamics of choice formation within a trial, which was embodied in running trajectories. Using two-photon calcium imaging, we densely sampled activity from large populations of neurons in posterior cortex and characterized the distribution of single-neuron encoding of various sensory, motor, and cognitive variables across areas. We found that, while neural encoding was highly distributed across posterior cortex, it was well-described with three spatially distinct gradients for visual cue, spatial position plus dynamics of choice formation, and locomotion, with peaks in visual, retrosplenial, and posterior parietal cortices, respectively. We then compared the conjunctive structures of single-neuron encoding and the population geometry of neural representations for multiple variables across areas to test whether these areas specialize in the ways they combine different variables to serve distinct computations. Surprisingly, all areas combined variables similarly instead of creating unique conjunctions of variables, resulting in a high-dimensional, complex representation of variable conjunctions shared across areas. These results lead us to infer that for navigation posterior cortical areas are functionally organized not in a hierarchy but in parallel, where areas are specialized to handle streams of information for distinct modalities but work coherently to synthesize a general-purpose state representation of the environment and behavior that can guide dynamic navigation decisions.
■590 ▼aSchool code: 0084.
■650 4▼aNanoscience.
■650 4▼aCellular biology.
■650 4▼aAnimal sciences.
■653 ▼aCalcium imaging
■653 ▼aConjunctive coding
■653 ▼aCortical organization
■653 ▼aDecision-making
■653 ▼aNavigation
■653 ▼aVirtual reality
■690 ▼a0565
■690 ▼a0379
■690 ▼a0475
■71020▼aHarvard University▼bMedical Sciences.
■7730 ▼tDissertations Abstracts International▼g84-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16932392▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
