Sequences, sequential rules, rule-learning, and related topics
Implicit sequence learning (in progress)
How do you learn a probabilistic sequence implicitly? More specifically, can humans learn a hierarchical structure from a sequence? What happens in your brain when you acquire the knowledge of the sequence? We investigate these topics using behavioral modeling, eye-tracking, model-based fMRI, and TMS.
Project Lead: Minho Shin
Transfer sequential knowledge in a novel environment (in progress)
How come you are so good at using a new smartphone after spending so many years with your old phone? How do you transfer the acquired sequential rules to new rules in a novel environment so easily? We are investigating these special abilities of humans using behavioral modeling, model-based fMRI, and TMS.
Project Lead: Taehyun Yoo
What happens in the prefrontal cortex when we process hierarchical structures, particularly using auditory and visual stimuli? We investigate how the gradient pattern of activations in the prefrontal cortex is manifested by interacting with auditory and visual information with functional MRI.
Project Lead: Taehyun Yoo
Processing hierarchical sequence in the auditory and visual domains (in progress)
Reduced functional connectivity supports statistical learning of temporally distributed regularities
Statistical learning is a powerful ability that extracts regularities from our environment and makes predictions about future events. Using functional MRI, we investigated how a wide range of brain areas are intertwined to support statistical learning, characterizing its architecture in the whole-brain functional connectivity.
Project Lead: Jungtak Park
Potential and efficiency of statistical learning closely intertwined with individuals’ executive functions: a mathematical modeling study
Statistical learning (SL) is essential in enabling humans to extract probabilistic regularities from the world. In our study, we showed that a high potential of SL was associated with poor inhibition and good visuo-spatial working memory, whereas the high efficiency of SL was closely related to good inhibition and good set-shifting.
Project Lead: Jungtak Park
