RESEARCH
Our long-term goal is to understand how the human brain processes the natural world using various neuroimaging data, such as electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI). We believe that this knowledge about how our brains work might help bridge the gap between AI and neuroscience, and the relevant findings would apply to various applications such as smart healthcare, neuromarketing, and so many others.
We currently focus on developing novel machine/deep learning models for analyzing neuroimaging data, neurofeedback systems for enhancing cognitive functions, and AI models for early diagnosing brain diseases. Also, near-future plans are to develop AI models for understanding high-level cognition of humans using neuroimaging data obtained during natural visual, auditory, and language stimuli.
Machine/Deep Learning
fMRI data based emotion prediction using deep neural network (DNN) models
Feature extraction of fMRI resting-state using Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) models
3D fMRI volume classification using convolutional neural network (CNN) models
Recursive approach of principal component analysis (PCA) to reduce artifacts in EEG simultaneously acquired with fMRI
Task-agnostic and self-organized intelligence for multi-modal continual learning
Brain-Computer Interface (BCI)
Identification of functional features of mindfulness on real-time fMRI neurofeedback
Transfer learning-based Motor Imagery classification using EEG
Object detection in surveillance video using EEG with domain adaptation and ensemble approach
(Naturalistic) Neuroscience
Eye-tracking based field-of-view control of 360° panoramic video clips for naturalistic viewing paradigm
Regular tobacco cigarette, not electronic cigarette, smoking influences working memory process
Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI
NeuroModulation
Transcranial focused ultrasound functionally modulates cortical and thalamic motor areas in awake sheep
Focused ultrasound enhances the anesthetic effects of topical lidocaine in rats
Transcutaneous application of ultrasound enhances the effects of finasteride in murine model of androgenic alopecia