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Research Activities

Research Topics

  Current Research Topics

  Brain-Computer Interfaces (BCI)

Brain-Machine Interfaces (BMI)

Noninvasive Brain Stimulation (NBS)

 Biosignal-Based Human-Computer Interfaces and Neuromarketing

Passive BCI for Brain Status Monitoring and Wearable Neurointerface

Brain-Engineering-Based Diagnosis
of Neuropsychiatric Diseases

Neurophotonics

Currently, only Korean documents are available. Please refer to Publication menu for further information.

  Old Research Topics (yr 2006 - yr 2012)

Functional Human Brain Mapping: Functional Connectivity

Precise Localization of Epileptogenic Foci/Network

 Multimodal Dyanmic Neuroimaging

Real-time Brain Activation Monitoring & Imaging System

Functional Electromagnetic Source Imaging

Analysis and Design of Biomedical Systems and Devices


Research Facilities

 

 

    - Multiple EEG recording systems

             WEEG-32 systems (Laxtha) - 2EA

             G.Mobilab-BCI (g.tec)

             ActiveTwo system (BioSemi) - 2EA

             Portable EEG systems - Neurosky Mindset, SoSoGames Brainno, EnoBio, Interaxon MUSE, Emotiv EPOC, Emotiv Insight

    - Near Infrared Spectroscopy (NIRS) system (Spectratech OEG-16)

    - EEG/MEG analysis software (CURRY7 for Windows, E-Prime, SuperLab5)

    - StimTracker and Response Pads (RB Series)

    - Jazz Eye Tracker

    - Physiological Signal Recording System (EMG, EOG, PPG, Respiration, GSR, Body temperature)

    - High-performance computing systems (Linux Clusters)

    - 3D-digitizer (Polhemus Patriot) for 3D electrode positioning

    - Various lab-made human skull phantoms

    - Various measurement equipments (Oscilloscope, Function Generator, Electrical Stimulators, etc.)

    - Brain Stimulators: tDCS kit (TCT)
    - Multichannel tDCS System (8ch): StarStim (Neuroelectrics)

    - Optitrack Motion Capture System - Prime 41 - 3EA

    - VR system: HTC Vive & High performance computing systems (with best GPUs)

    - AR systems: MS Holens I and II, Nreal Developer version

    - High performance computers and servers for deep learning study

 

 

Media Coverage

 

 

 


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