Study

Robotic Devices for Assisted and Autonomous Intravenous Access

Comparing structure-function relationships in brain networks using EEG and fNIRS

Robotic Sonographer: Learning Robotic Ultrasound With Sparse Expert’s Feedback

Exploring the dynamics of prefrontal cortex in the interaction between orienteering experience and cognitive performance by fNIRS

EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals

Neuro-3D: Towards 3D Visual Decoding from EEG Sginals

A Biomodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined

ARViS: a bleed-free multi-site automated injection robot for accurate, fast, and dense delivery of virus to mouse and marmoset cerebral cortex

SlicerROS2: A Research and Development Module for Image-Guided Robotic Interventions

Neuro-GPT is a foundation model to handle the scarcity and heterogeneity of EEG data for BCI tasks, consisting of an EEG encoder and a GPT model.

Enhanced control of a brain–computer interface by tetraplegic participants via neural-network-mediated feature extraction

A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface

Design and Evaluation of Augmented Reality-Enhanced Robotic System for Epidural Interventions

Bridging spinal cord injuries wirelessly

Transcranial focused ultrasound-mediated neurochemical and functional connectivity changes in deep cortical regions in humans

An fMRI study on the generalization of motor learning after brain-actuated supernumerary robot training

Lecture #1. Cellular Homeostasis and Biophysical Concepts

Lecture 2, Cellular Communication: AP Propagation & Nervous System

Vision-Language Models (VLM)의 기초: CLIP 모델의 수학적 기반

Reinforcement Learning - #1. Markov Decision Process (MDP, 마르코프 결정 과정), Bellman Optimality Equation (벨만 최적 방정식)

Lecture 3. Electrochemical Principles and Electrode Reactions