• Advisor: Prof. Se-Bum Paik

• Study of early visualpathway’s functional role using deep neural network (DNN)

• Examine whether inherent receptive fields enable general object recognition

• Incorporated Gabor filters in the first layer of DNN to model biological brains

• Showed our model recognizes objects under dynamic domain shifts through shape-biased feature encoding

• Advisor: Prof. Sang Wan Lee

• Study of human model-based (MB) reinforcement learning system using fMRI

• Examine whether MB system would also use temporal difference to estimate drifting rewards and generate reward prediction error (MB-RPE)

• Designed foraging tasks, conducted human behavior experiments

• Analyzed fMRI data, found significant MB-RPE signals from prefrontal cortex

• Advisor: Prof. Sang Ah Lee

• Study of prefrontal cortex subregions’ temporal dynamics duringworkingmemory using fNIRS

• Designed working memory task, conducted human behavior experiments

• Constructed novel MATLAB-based preprocessing toolbox for fNIRS data

• Devised new method for accessing decoding performance over time