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Study the science of art.
Study the art of science.
Develop your senses — especially learn how to see.
Realize that everything connects to everything else.
-Leonardo da Vinci's Principles for the Development of a Complete Mind-
Uncovering the functional anatomy of the human connectomes may allow to understand the mystery of human minds and behaviors. The impact of this achievement will exert on the entire humanity. Yet, the shear complexity of the brain network and its relationship with the genetic architecture and ever-changing environments makes it extremely challenging to tackle how a brain connectome give arise to a set of cognitive/emotional/behavioral process.
At SNU Connectome Laboratory in the Department of Psychology, we attempt to tackle the questions about the connections that the brain makes — within itself and to others, such as genomes, phenomes, and environments. We use data science and AI as a lens through which we can observe the complex scientific data and then can extract useful representations that might reflect certain characteristics of the reality we may never encounter otherwise. We are particularly interested in how time impacts these connections of the connectome, e.g., development and aging. We are also interested in when these connections go awry in an abnormal (e.g., disease) condition. Crucial is multi-disciplinary convergence through open science across Cognitive Sciences, Sociology, Medicine, Computer Science, Bioinformatics, and many more.
We invite you all to this everlasting journey. Welcome!
NEWS
NEWS
민정윤 학생의 연구가 OHBM 2025 포스터 발표로 채택되었습니다.
Jungyoon Min's work was accepted as a poster presentation at OHBM 2025. "Polygenic risk and white matter improve deep learning prediction of youth depression and suicidality" (2025.04.09)
한동엽, 이아현 학생의 연구가 OHBM 2025 포스터 발표로 채택되었습니다.
Dongyeop Han and Ahhyun Lee’s work was accepted as a poster at OHBM 2025. "Multi-label Aware Contrastive Learning for Better Psychiatric Diagnosis using T1 Structural MR" (2025.04)
박마리아, 이진우, 김보겸 학생의 연구가 Computational Cognitive Neuroscience (CCN) 2025 포스터 발표로 채택되었습니다. (2025.04, 8월 암스테르담 발표 예정)
Maria Pak, Jinwoo Lee, and Bo-Gyeom Kim’s work was accepted as a poster at the 2025 Computational Cognitive Neuroscience (CCN) conference, to be presented in August in Amsterdam.
최주빈 학생은 미국 뉴욕의 Brookhaven National Lab (BNL)에서 2025년 2월부터 6개월간 연수를 시작하여 fMRI foundation model 개발에 집중하고 다양한 네트워킹의 기회를 누리는 시간을 보냈습니다.
Jubin Choi began a six-month research training program at Brookhaven National Laboratory (BNL) in New York, USA, in February 2025. During this time, he focused on developing an fMRI foundation model and took full advantage of various networking opportunities.
4월 2일, 최주빈 학생이 커넥톰랩 대상으로 '효율적인 딥러닝 연구를 위한 컴퓨팅 자원 활용 전략' 워크숍을 진행했습니다.
On April 2, student Jubin Choi conducted a workshop for the Connectome Lab titled "Strategies for Efficient Use of Computing Resources in Deep Learning Research."
4월 18일, 민정윤 학생이 성균관대학교 삼성의과학원 주윤정 교수님 연구실에서 "Pretraining 및 Finetuning" 주제로 발표와 워크숍을 성공적으로 진행하였습니다.
On April 18, Jungyoon Min gave a successful research talk and workshop on "Pretraining and Finetuning" at Professor Yoonjung Joo's lab, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University.
5월에는 이진우 학생의 주도로 커넥톰 연구실과 인지발달신경과학 연구실이 합동 방법론 워크숍을 개최했습니다. [유투브 링크]
In May, Jinwoo Lee led a joint methods workshop between Connectome Lab and the Cognitive Developmental Neuroscience Lab. [youtube link]
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