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Developing Behavioral Metrics for Computational Models of Psychopathology
Developing Behavioral Metrics for Computational Models of Psychopathology
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152709
- ISBN
- 9798384025252
- DDC
- 616
- 서명/저자
- Developing Behavioral Metrics for Computational Models of Psychopathology
- 발행사항
- [Sl] : University of Pennsylvania, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 82 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
- 주기사항
- Advisor: Gold, Joshua I.;Platt, Michael L.
- 학위논문주기
- Thesis (Ph.D.)--University of Pennsylvania, 2024.
- 초록/해제
- 요약Complex cognition and thoughts intrinsic to mental health and other psychopathologies cannot be fully characterized without creative and precise behavioral measures. In this dissertation, I describe two projects that aimed to improve parameterization or capture individual variation in behavior measures in general populations. In the first project, a novel task elucidated a spectrum of decision thresholds that are typically set categorically and fit from a model rather than directly measured. This can inform model fitting procedures in a standard technique used across a range of psychological and neuroscience applications. The second project aimed to use the guidelines from the Research Domain Criteria (RDoC), a national initiative from NIH to standardize neuropsychological research, to integrate adaptive, reward decision-making with neuromodulation to associate response to the modulation and subclinical mental health features using model parameters. The results were inconclusive, and the limitations of the design are discussed. Suggestions for future experiments are proposed.
- 일반주제명
- Neurosciences
- 일반주제명
- Mental health
- 일반주제명
- Behavioral psychology
- 일반주제명
- Cognitive psychology
- 키워드
- Decision making
- 기타저자
- University of Pennsylvania Neuroscience
- 기본자료저록
- Dissertations Abstracts International. 86-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798384025252
■035 ▼a(MiAaPQ)AAI31488525
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a616
■1001 ▼aDallstream, Alice C.
■24510▼aDeveloping Behavioral Metrics for Computational Models of Psychopathology
■260 ▼a[Sl]▼bUniversity of Pennsylvania▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a82 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-02, Section: B.
■500 ▼aAdvisor: Gold, Joshua I.;Platt, Michael L.
■5021 ▼aThesis (Ph.D.)--University of Pennsylvania, 2024.
■520 ▼aComplex cognition and thoughts intrinsic to mental health and other psychopathologies cannot be fully characterized without creative and precise behavioral measures. In this dissertation, I describe two projects that aimed to improve parameterization or capture individual variation in behavior measures in general populations. In the first project, a novel task elucidated a spectrum of decision thresholds that are typically set categorically and fit from a model rather than directly measured. This can inform model fitting procedures in a standard technique used across a range of psychological and neuroscience applications. The second project aimed to use the guidelines from the Research Domain Criteria (RDoC), a national initiative from NIH to standardize neuropsychological research, to integrate adaptive, reward decision-making with neuromodulation to associate response to the modulation and subclinical mental health features using model parameters. The results were inconclusive, and the limitations of the design are discussed. Suggestions for future experiments are proposed.
■590 ▼aSchool code: 0175.
■650 4▼aNeurosciences
■650 4▼aMental health
■650 4▼aBehavioral psychology
■650 4▼aCognitive psychology
■653 ▼aDecision making
■653 ▼aDrift diffusion model
■653 ▼aResearch Domain Criteria
■653 ▼aNeuropsychological research
■653 ▼aPsychopathologies
■690 ▼a0317
■690 ▼a0633
■690 ▼a0347
■690 ▼a0384
■71020▼aUniversity of Pennsylvania▼bNeuroscience.
■7730 ▼tDissertations Abstracts International▼g86-02B.
■790 ▼a0175
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163443▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
