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A meta-analysis on reasoning using Bayesian Meta-Analysis on the Cortical Surface (BMACS)

Title
A meta-analysis on reasoning using Bayesian Meta-Analysis on the Cortical Surface (BMACS)
Alternative Title
피질 표면에서의 베이지안 메타-분석 (BMACS)을 이용한 추론 과정의 메타-분석
Author(s)
Minho Shin
DGIST Authors
Minho ShinHyeon-Ae JeonJinsoo Seo
Advisor
전현애
Co-Advisor(s)
Jinsoo Seo
Issued Date
2021
Awarded Date
2021/02
Type
Thesis
Subject
meta-analysis, reasoning, spatial process model, cortical surface, BMACS, 메타-분석, 추론, 점 과정 모델, 피질 표면
Table Of Contents
I. INTRODUCTION 1
II. METHODS 6
2.1. Data Collection 6
2.2. Preprocessing 7
2.3. Bayesian Meta-Analysis of the Cortical Surface (BMACS) 8
2.4. Posterior Analysis 10
2.5. Bayesian Spatial Point Process Classifier 11
2.6. Multi-Level Kernel Density Analysis 12
2.7. Validating BMACS on a Working Memory Dataset 13
2.8. Simulation 14
III. RESULTS 15
3.1. Reasoning-specific maps revealed by BMACS in comparison with MKDA 15
3.2. Better classification accuracies in BMACS than in MKDA 20
3.3. Validation of BMACS via successfully reproducing results from a previous study 22
3.4. Validation of BMACS via successful parameter recovery 24
IV. DISCUSSION 26
References 34
URI
http://dgist.dcollection.net/common/orgView/200000366213

http://hdl.handle.net/20.500.11750/16726
DOI
10.22677/thesis.200000366213
Degree
Master
Department
Brain and Cognitive Sciences
Publisher
DGIST
Related Researcher
  • 서진수 Seo, Jinsoo
  • Research Interests iPSC; Alzheimer's disease; Neurodegeneration; Synapse; Neuroscience
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Department of Brain Sciences Theses Master

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