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Behavioral and Neural Representations of Human Visual Perception: Integration Across Saccades, 3D Space, and Real-World Object Properties
Behavioral and Neural Representations of Human Visual Perception: Integration Across Saccades, 3D Space, and Real-World Object Properties
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105635
- ISBN
- 9798297962699
- DDC
- 150
- 저자명
- Lu, Zitong.
- 서명/저자
- Behavioral and Neural Representations of Human Visual Perception: Integration Across Saccades, 3D Space, and Real-World Object Properties
- 발행사항
- [Sl] : The Ohio State University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 228 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: B.
- 주기사항
- Advisor: Golomb, Julie D.
- 학위논문주기
- Thesis (Ph.D.)--The Ohio State University, 2025.
- 초록/해제
- 요약Understanding how the human brain processes visual information in real-world contexts is a central goal of vision science. While traditional studies have provided valuable insights into visual encoding under highly controlled conditions, they often fail to capture the dynamic, structured, and semantically rich nature of everyday real-life experience. This dissertation investigates human visual representations of object feature and spatial information in the context of ecologically relevant real-world properties, through a set of three interrelated studies - focusing on spatiotopic object-location binding in dynamic saccade context, spatiotemporal representations of 3D visual perception, and disentangled object real-world size representation from retinal size and real-world depth - using a combination of behavioral experiments, eye-tracking, EEG, fMRI and computational approaches. In Chapter 2, integrating frequent saccades into the study of visual perception, I investigated behavioral findings on spatiotopic object-location binding in dynamic saccade context. Our results through four behavioral experiments provide strong evidence that dynamic saccade context (multiple frequent saccades and saccades during stimulus presentation) can trigger more stable object-location binding in ecologically relevant spatiotopic coordinate. In Chapter 3, moving from 2D to 3D spatial encoding, I collected a large-scale, multimodal neuroimaging dataset consisting of multiple EEG and fMRI sessions while participants viewed stereoscopic 3D stimuli through red-green anaglyph glasses to unfold spatiotemporal representations of 3D visual perception. Combining this large-scale EEG-fMRI dataset with computational methods via representational similarity analysis, I reveal that human brains employ multiple types of spatial feature representations and coordinate systems to encode spatial locations at different temporal stages and across distinct cortical regions. In addition to strong representations of 2D space throughout visual cortex, I find unique representations for depth and 3D features in distinct timepoints and brain areas, including some evidence for integrated 3D processing in parahippocampus. In Chapter 4, extending from spatial representations to high-level real-world object properties, I explored the object real-world size representations in natural images. Our analyses combining human EEG and artificial neural networks reveal disentangled representations of object real-world size distinct from retinal size and perceived real-world depth. Together, the findings across these studies aim to provide a deeper understanding of visual perception in the context of more ecological real-world properties, offering insights with implications for both cognitive neuroscience and applied fields.
- 일반주제명
- Psychology
- 일반주제명
- Neurosciences
- 일반주제명
- Medical imaging
- 키워드
- Human brain
- 키워드
- Parahippocampus
- 키워드
- Neural networks
- 기타저자
- The Ohio State University Psychology
- 기본자료저록
- Dissertations Abstracts International. 87-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■035 ▼a(MiAaPQ)OhioLINKosu175190205252908
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a150
■1001 ▼aLu, Zitong.
■24510▼aBehavioral and Neural Representations of Human Visual Perception: Integration Across Saccades, 3D Space, and Real-World Object Properties
■260 ▼a[Sl]▼bThe Ohio State University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a228 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: B.
■500 ▼aAdvisor: Golomb, Julie D.
■5021 ▼aThesis (Ph.D.)--The Ohio State University, 2025.
■520 ▼aUnderstanding how the human brain processes visual information in real-world contexts is a central goal of vision science. While traditional studies have provided valuable insights into visual encoding under highly controlled conditions, they often fail to capture the dynamic, structured, and semantically rich nature of everyday real-life experience. This dissertation investigates human visual representations of object feature and spatial information in the context of ecologically relevant real-world properties, through a set of three interrelated studies - focusing on spatiotopic object-location binding in dynamic saccade context, spatiotemporal representations of 3D visual perception, and disentangled object real-world size representation from retinal size and real-world depth - using a combination of behavioral experiments, eye-tracking, EEG, fMRI and computational approaches. In Chapter 2, integrating frequent saccades into the study of visual perception, I investigated behavioral findings on spatiotopic object-location binding in dynamic saccade context. Our results through four behavioral experiments provide strong evidence that dynamic saccade context (multiple frequent saccades and saccades during stimulus presentation) can trigger more stable object-location binding in ecologically relevant spatiotopic coordinate. In Chapter 3, moving from 2D to 3D spatial encoding, I collected a large-scale, multimodal neuroimaging dataset consisting of multiple EEG and fMRI sessions while participants viewed stereoscopic 3D stimuli through red-green anaglyph glasses to unfold spatiotemporal representations of 3D visual perception. Combining this large-scale EEG-fMRI dataset with computational methods via representational similarity analysis, I reveal that human brains employ multiple types of spatial feature representations and coordinate systems to encode spatial locations at different temporal stages and across distinct cortical regions. In addition to strong representations of 2D space throughout visual cortex, I find unique representations for depth and 3D features in distinct timepoints and brain areas, including some evidence for integrated 3D processing in parahippocampus. In Chapter 4, extending from spatial representations to high-level real-world object properties, I explored the object real-world size representations in natural images. Our analyses combining human EEG and artificial neural networks reveal disentangled representations of object real-world size distinct from retinal size and perceived real-world depth. Together, the findings across these studies aim to provide a deeper understanding of visual perception in the context of more ecological real-world properties, offering insights with implications for both cognitive neuroscience and applied fields.
■590 ▼aSchool code: 0168.
■650 4▼aPsychology
■650 4▼aNeurosciences
■650 4▼aMedical imaging
■653 ▼aHuman brain
■653 ▼aParahippocampus
■653 ▼aNeural networks
■653 ▼aSpatial information
■690 ▼a0621
■690 ▼a0574
■690 ▼a0317
■71020▼aThe Ohio State University▼bPsychology.
■7730 ▼tDissertations Abstracts International▼g87-05B.
■790 ▼a0168
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360901▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
