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Neural and Computational Underpinnings of Serial Dependence- [electronic resource]
![Neural and Computational Underpinnings of Serial Dependence - [electronic resource]](/Users/Baul/Images/book.png)
Neural and Computational Underpinnings of Serial Dependence- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100127
- ISBN
- 9798379795658
- DDC
- 616
- 서명/저자
- Neural and Computational Underpinnings of Serial Dependence - [electronic resource]
- 발행사항
- [S.l.]: : University of California, San Diego., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(175 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
- 주기사항
- Advisor: Serences, John.
- 학위논문주기
- Thesis (Ph.D.)--University of California, San Diego, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Human perception and behavior are shaped by past experiences. Neural representations are constrained to utilize statistical regularities to encode the world efficiently while decision making should utilize heuristics to optimize the use of uncertain information. Recently, there has been heightened interest in serial dependence - a feature-specific attraction towards previously seen stimuli - to better understand these distinct objectives. Serial dependence differs from the more familiar perceptual adaptation effects as it is attractive, can be induced by weak stimuli, and can persist for 10s of seconds. Accounts explaining serial dependence have varied greatly, with some positing a low-level perceptual phenomenon and others positing a post-perceptual origin operating during decision-making. That said, most existing studies did not separate the influence of previous stimuli, decisions, and motor actions so directly comparing possible mechanisms is challenging. We first examined the neural underpinning of serial dependence by having participants complete a delayed orientation discrimination task while measuring brain activity with functional magnetic resonance imaging (fMRI, Chapter 1). While behavioral responses indicated an attraction towards the previous stimulus, orientation-specific activation patterns in visual cortex exhibited a repulsive bias. We reconciled these apparently divergent findings with an ideal-observer model in which readout from perceptual areas during decision-making accounts for the attractive biases. We next developed a technique to distinguish stimulus from response generated biases using a simulated observer (Chapter 2). Utilizing this approach, we consistently found that reports were attracted towards previously reported - as opposed to previously presented - stimuli in an orientation report task. Finally, we sought to experimentally disentangle the role of sensory, decisional, and motor contributions to serial dependence (Chapter 3). Through a series of experiments, we found that attraction operates on a perceptual level, unrelated to attention or decisions, as well as on a decisional level, unrelated to motor or sensory experiences. We develop a model in which serial dependence is not the result of processing at a single stage. Instead, all levels of processing are influenced by a canonical prior for stability to optimize the efficiency of neural circuits that contribute to different cognitive operations.
- 일반주제명
- Neurosciences.
- 일반주제명
- Psychology.
- 일반주제명
- Biology.
- 키워드
- Adaptation
- 키워드
- Decoding
- 키워드
- Perception
- 키워드
- Serial depedence
- 키워드
- Vision
- 기타저자
- University of California, San Diego Neurosciences
- 기본자료저록
- Dissertations Abstracts International. 85-01B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798379795658
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aSheehan, Timothy C.
■24510▼aNeural and Computational Underpinnings of Serial Dependence▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of California, San Diego. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(175 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-01, Section: B.
■500 ▼aAdvisor: Serences, John.
■5021 ▼aThesis (Ph.D.)--University of California, San Diego, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aHuman perception and behavior are shaped by past experiences. Neural representations are constrained to utilize statistical regularities to encode the world efficiently while decision making should utilize heuristics to optimize the use of uncertain information. Recently, there has been heightened interest in serial dependence - a feature-specific attraction towards previously seen stimuli - to better understand these distinct objectives. Serial dependence differs from the more familiar perceptual adaptation effects as it is attractive, can be induced by weak stimuli, and can persist for 10s of seconds. Accounts explaining serial dependence have varied greatly, with some positing a low-level perceptual phenomenon and others positing a post-perceptual origin operating during decision-making. That said, most existing studies did not separate the influence of previous stimuli, decisions, and motor actions so directly comparing possible mechanisms is challenging. We first examined the neural underpinning of serial dependence by having participants complete a delayed orientation discrimination task while measuring brain activity with functional magnetic resonance imaging (fMRI, Chapter 1). While behavioral responses indicated an attraction towards the previous stimulus, orientation-specific activation patterns in visual cortex exhibited a repulsive bias. We reconciled these apparently divergent findings with an ideal-observer model in which readout from perceptual areas during decision-making accounts for the attractive biases. We next developed a technique to distinguish stimulus from response generated biases using a simulated observer (Chapter 2). Utilizing this approach, we consistently found that reports were attracted towards previously reported - as opposed to previously presented - stimuli in an orientation report task. Finally, we sought to experimentally disentangle the role of sensory, decisional, and motor contributions to serial dependence (Chapter 3). Through a series of experiments, we found that attraction operates on a perceptual level, unrelated to attention or decisions, as well as on a decisional level, unrelated to motor or sensory experiences. We develop a model in which serial dependence is not the result of processing at a single stage. Instead, all levels of processing are influenced by a canonical prior for stability to optimize the efficiency of neural circuits that contribute to different cognitive operations.
■590 ▼aSchool code: 0033.
■650 4▼aNeurosciences.
■650 4▼aPsychology.
■650 4▼aBiology.
■653 ▼aAdaptation
■653 ▼aDecoding
■653 ▼aPerception
■653 ▼aSerial depedence
■653 ▼aVision
■690 ▼a0317
■690 ▼a0621
■690 ▼a0306
■71020▼aUniversity of California, San Diego▼bNeurosciences.
■7730 ▼tDissertations Abstracts International▼g85-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0033
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931849▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
