Hi, my name is Minho Shin. Nice to meet you.
I am a Ph.D student studying cognitive neuroscience at DGIST, South Korea, advised by Dr. Hyeon-Ae Jeon. I am generally interested in high-level cognition that are unique to humans. To study the human high-level cognition, I use various methods including computational modeling of behavior, functional magnetic resonance imaging.
Lately
I recently published my first publication at Cerebral Cortex that investigated reasoning-related brain regions using the newly-developed Bayesian meta-analysis tool called Bayesian meta-analysis of cortical surface (BMACS).
My new project is about human structure learning that how humans learn complex structure in the environment and use such knowledge for their next decisions. I am going to combine various tools such as behavioral modeling, fMRI and TMS to study structure learning integratively.
Blog
An (in)complete guide to reaction time analysis
For a typical 2 × 2 design in psychology or cognitive science, one should care contrast coding and use mixed-effects models with logarithm of RTs.
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The critical role of interference control in metaphor comprehension evidenced by the drift–diffusion model
We address the question of, among several executive functions, which one has a strong influence on metaphor comprehension. Here, with more fine-grained analysis of the decisions involved in metaphor comprehension using the drift–diffusion model, we argue that interference control plays an important role in processing metaphors.
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