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Psychophysical Inference from Centroid Estimation
Psychophysical Inference from Centroid Estimation
상세정보
- 자료유형
- 학위논문
- Control Number
- 0015493768
- International Standard Book Number
- 9781687975409
- Dewey Decimal Classification Number
- 371
- Main Entry-Personal Name
- Rashid, Jordan Ali.
- Publication, Distribution, etc. (Imprint
- [Sl] : University of California, Irvine, 2019
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2019
- Physical Description
- 129 p
- General Note
- Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
- General Note
- Advisor: Chubb, Charles.
- Dissertation Note
- Thesis (Ph.D.)--University of California, Irvine, 2019.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약Performance statistics in centroid tasks are not the same as those used in classic decision tasks. In psychophysical experiments using decision tasks, signal detection theory and drift-diffusion models provide the frameworks for statistical inference from error rates and reaction times. However, neither of these frameworks are appropriate for psychophysical inference with centroid task data. In this dissertation, we explore a modeling framework for double-pass experiments with centroid tasks, and show its potential to (1) detect performance differences, and infer experimental effects without additional process model assumptions, (2) falsify properties of a latent process using nested model assumptions, (3) investigate neurocomputational models of the process, and (4) investigate properties of spatial attention at a deeper level than is possible using decision-based paradigms.
- Subject Added Entry-Topical Term
- Cognitive psychology
- Subject Added Entry-Topical Term
- Statistics
- Subject Added Entry-Topical Term
- Behavioral psychology
- Added Entry-Corporate Name
- University of California, Irvine Cognitive Sciences (PhD/MS)
- Host Item Entry
- Dissertations Abstracts International. 81-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:568961
MARC
008200131s2019 c eng d■001000015493768
■00520200217182237
■020 ▼a9781687975409
■035 ▼a(MiAaPQ)AAI22620931
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a371
■1001 ▼aRashid, Jordan Ali.
■24510▼aPsychophysical Inference from Centroid Estimation
■260 ▼a[Sl]▼bUniversity of California, Irvine▼c2019
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2019
■300 ▼a129 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 81-04, Section: B.
■500 ▼aAdvisor: Chubb, Charles.
■5021 ▼aThesis (Ph.D.)--University of California, Irvine, 2019.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aPerformance statistics in centroid tasks are not the same as those used in classic decision tasks. In psychophysical experiments using decision tasks, signal detection theory and drift-diffusion models provide the frameworks for statistical inference from error rates and reaction times. However, neither of these frameworks are appropriate for psychophysical inference with centroid task data. In this dissertation, we explore a modeling framework for double-pass experiments with centroid tasks, and show its potential to (1) detect performance differences, and infer experimental effects without additional process model assumptions, (2) falsify properties of a latent process using nested model assumptions, (3) investigate neurocomputational models of the process, and (4) investigate properties of spatial attention at a deeper level than is possible using decision-based paradigms.
■590 ▼aSchool code: 0030.
■650 4▼aCognitive psychology
■650 4▼aStatistics
■650 4▼aBehavioral psychology
■690 ▼a0633
■690 ▼a0463
■690 ▼a0384
■71020▼aUniversity of California, Irvine▼bCognitive Sciences (Ph.D./M.S.).
■7730 ▼tDissertations Abstracts International▼g81-04B.
■773 ▼tDissertation Abstract International
■790 ▼a0030
■791 ▼aPh.D.
■792 ▼a2019
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T15493768▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202002▼f2020
