Brain-Computer Interface Team

We study the nervous system from brain circuits to the peripheral nerves and sensory organs, and build technologies that read from, model, and write to it.

Our research follows one loop: we measure and decode neural signals, replicate each person's nervous system in a digital twin, the Neuro-Replica, optimize stimulation in the twin, and modulate the nervous system with closed-loop devices.

CNS-Replica

Personalized multi-scale brain twins that predict responses to stimulation

In silico optimization of stimulation for Parkinson's disease, epilepsy, and cognitive function

Spiking network models personalized with microelectrode recordings

Whole-brain network modeling with simulation-based inference

Paired electrophysiology and MRI datasets from rodent disease models

Imaging-based DBS planning

PNS-Replica: Somatosensation

Limb and nerve twins that predict the sensation produced by electrical stimulation

Stimulation that recreates natural body sensations with minimal pain

Multimodal measurement and finite element models of limbs and nerves

Large-scale nerve fiber models, including pain fibers

Motion analysis and musculoskeletal modeling for movement disorders

PNS-Replica: Olfaction

Receptor-informed prediction of the odors of molecules and mixtures

Inverse design of odor mixtures for a target scent

Receptor docking and mixture models for odor prediction

Olfactory circuit models from receptors to the brain

Closed-loop implantable BCI

A fully implantable wireless platform with updatable on-device machine learning

Closed-loop therapy that detects pathological states early and adapts stimulation

Low-power wireless recording and stimulation hardware with over-the-air updates

On-device machine learning and reinforcement learning for stimulation tuning

Stimulation artifact cancellation

Neural decoding

Robust and interpretable decoding methods

Brain-state markers for closed-loop control and biomarkers for the Neuro-Replica

Biomarkers for coexisting symptoms, and mechanisms of circuit dysfunction

Drift-robust FSCV analysis of tonic and phasic dopamine

Periodic and aperiodic brain signal analysis

Low-complexity PPG analysis for wearable monitoring

Related projects

The prefrontal circuit motifs in healthy brain and brain with emotional abnormalities(KBRI)
Minimum invasive AI-based E-brain development for brain disease relief (MSIP)
Development of core technology for fusion interface based on high efficiency sensors mimicking human five senses(NRF)
Development of multi-modal sensing and control for brain functional homeostasis (NRF)
Development of mobile platform for Alzheimer’s disease (AD) diagnosis and relief using AI based neuro-feedback(NRF)
Development of fusion parts for 3.5 Tesla 6 channel magnetic stimulation and information feedback for a cure for intractable brain disease(MEST),
Rehabilitation and replacement technology for brain damage employing electrical method(MSIP)
Development of microbiorobotic systems for surgical treatment of chronic total occlusion(MEST)
Physiological tactile sensor developments(Samsung Electronics)
Development of bi-directional multi-channel neural electrodes and implantable wireless power/data transmission modules(NRF)

Related Societies

IEEE Engineering in Medicine and Biology Society https://www.embs.org/
Organization for Computational Neurosciences https://www.cnsorg.org/
Society for Neuroscience https://www.sfn.org/
The Society for functional Near Infrared Spectroscopy (SfNIRS) https://fnirs.org/
The Korean Society for Brain and Neural Sciences (KSBNS, 한국뇌신경과학회) http://www.ksbns.org/
Korean Society for EEG and Neurophysiology (KEEG, 대한뇌파신경생리학회) https://keeg.or.kr/index.htm?
Brain Engineering Society of Korea (BESK,한국뇌공학회) http://besk.kr/
The Korean Society of Medical & Biological Engineering (KOSOMBE, 대한의용생체공학회) http://www.kosombe.or.kr/

Related Conferences

Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) https://embc.embs.org/
IEEE International Winter Conference on Brain-Computer Interface https://brain.korea.ac.kr/bci2018/registration/registration.php
Organization for computational neuroscience (CNS) https://www.cnsorg.org/calendar
Society for Neuroscience SFN https://www.sfn.org/meetings/calendar
KSBNS Conference https://www.ksbns.org/notice/?gbn=2&htop=MN0005&ctop=MN0032&ptop=MN0005
KEEG Conference https://keeg.or.kr/index.htm

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