Conference 2026-08-05
Connectome Lab Presents in New York
커넥톰랩, 뉴욕 학회에서 포스터 발표
Seoul National University · Connectome Laboratory
Everything Connects to
Everything Else
— Leonardo da Vinci, the lab’s founding conviction
We study how the brain’s connections give rise to mind — cognition, emotion, development, and psychiatric resilience. Our instruments are brain foundation models, multimodal genetics, and quantum machine learning; our conviction is that seeing well is a scientific skill.
The research map
Four research axes, one brain
An illustrative sketch of how our research programs connect — select a node to see what each axis studies and how the axes link together.
Pick a research axis
Each glowing node is one axis of our research program. Select one to see what it studies, which brain systems it works with, and how it connects to the other axes.
From the lab
Latest news
Paper 2026-08-04
Youth Depression Prediction Study Published in Communications Medicine
청소년 우울증 예측 연구, Communications Medicine 게재
Award 2026-03-15
Lab Awarded NRF Mid-Career Researcher Grant
연구실, 한국연구재단 중견연구자지원사업 선정
Open source
Featured projects
The four lab repositories with the most recent activity.
SaliencePython
EmoBrain
Emotion representation learning with brain foundation models and naturalistic fMRI.
🤖 claude-fable-5last push 2026-08
SensoryPython★ 1
Project ColorBlind
An fMRI-based display filter for individuals with color vision deficiency.
🤖 claude-fable-5last push 2026-08
Default ModeNeurIPS 2025 WorkshopPython★ 1
NeuroMamba
A state-space foundation model for functional MRI, scaling selective state-space dynamics to whole-brain 4D signals.
🤖 claude-fable-5Executive ControlCommunications Biology 2026Jupyter Notebook
MBBN
Frequency-specific multi-band attention for spatiotemporal learning of brain dynamics from fMRI.
🤖 claude-fable-5Paper · Communications Biology →
last push 2026-04
Research
From foundation models to the neuroscience of awe
Different instruments, one question: how do neural connections become a mind?
The Neuro-X Project: Towards Large Brain Models
Neuro-X 프로젝트: 대규모 뇌 파운데이션 모델 (LBM) 구축
Decoding the universal language of the mind through multi-modal self-attention and dynamic connectomics.
Read more →
fMRI & EEG Foundation Models
fMRI 및 EEG 파운데이션 모델 (NeuroMamba, SwiFT, DIVER-0)
Pioneering state-space models and channel-equivariant architectures for 4D neural dynamics.
Read more →
Computational Psychiatry & Multi-Modal Genetics
계산정신의학 및 다중오믹스-뇌연결성 유전체 연구
Bridging polygenic risk scores, white matter tractography, and environmental adversity to predict mental health trajectories.
Read more →
Quantum Machine Learning for Neuroimaging and Time-Series
뉴로이미징과 시계열을 위한 양자 머신러닝(QML)
Circuits that actually train, fit real brain signals, and run on today's noisy hardware.
Read more →
Affective Neuroscience: Awe, Memory, and Aesthetic Experience
정서 신경과학: 경외, 기억, 그리고 미적 경험
The feelings that are hardest to put into words — awe, being moved, remembering — measured, modeled, and occasionally staged.
Read more →
Selected work
Featured publications
2025 ICML 2025 Workshop Spotlight
DIVER-0: A Fully Channel Equivariant EEG Foundation Model
Dong Yeop Han, Ahhyun Lee, Taeyang Lee, Sebin Lee, Jiook Cha
ICML 2025 Workshop on Generative Biology (Spotlight)
2025 Molecular Psychiatry 2025
Polygenic scores for psychiatric traits mediate the impact of multigenerational history of depression on offspring psychopathology
Eunji Lee, Milenna T. van Dijk, Bogyeom Kim, Gakyung Kim, Eleanor Murphy, Ardesheer Talati, Yoonjung Yoonie Joo, Myrna M. Weissman, Jiook Cha
Molecular Psychiatry
2025 NeurIPS 2025 Workshop Spotlight
NeuroMamba: A State-Space Foundation Model for Functional MRI
Jubin Choi, Jungwoo Seo, Dong Yeop Han, Jiook Cha
NeurIPS 2025 Workshop on Foundation Models for the Brain and Body (Spotlight)
2025 Nature Communications
Polygenic architecture of brain structure and function, behaviors, and psychopathologies in children
Yoonjung Yoonie Joo, Bogyeom Kim, Gakyung Kim, Eunji Lee, Jungwoo Seo, Jiook Cha
Nature Communications
Alumni
Where our people go
Jungyoon Min → PhD Student, Neuroscience, University of Southern California Jinwoo Yi → PhD Student, Psychology, UC San Diego Junbeom Kwon → Researcher, Pestilli Lab, UT Austin Seoyoung Lim → Scientist, Samsung Biologics Sooyoung Kim → PhD Student, Computer Science, Rutgers University Joonwoo Kwon → PhD Student, Computer Science, Michigan State University Gakyung Kim → PhD Student, Brain and Cognitive Sciences, SNU Yoonjung Yoonie Joo → Assistant Professor, SAIHST, Sungkyunkwan University David Keetae Park → Researcher, Brookhaven National Laboratory Seungwook Han → Graduate Researcher, MIT EECS Alex Luna → Psychiatry Resident, Columbia University
Meet current members and alumni → Curious about brains, models, or both?
We welcome graduate students, postdocs, and undergraduate interns from psychology, AI, neuroscience, physics, and beyond. Tell us what you want to figure out.