LAB MEMBERS

Principle Investigator

Haejeong Park

Professor
Current Position
Professor, Department of Nuclear Medicine, Yonsei University College of Medicine
Main Research Interests

◆ Integrating systems and theoretical neurosciences to model neuro-cognition and disease mechanism.

◆ Predicting brain plasticity based on network organization theory.

◆ Reading mind and facilitating network reorganization using real-time fMRI and brain decoding.

◆ Bayesian inference of linguistic, communicative and social brains.

◆ Medical image processing, registration and segmentation for surgical planning and medical diagnosis.

Email: PARKHJ@yuhs.ac
CV: here

Research Professor

Jiyoung Kang

Research Professor
Education
Yonsei University
Research Professor | Physics
2017 - Present
Jiyong's Research Interests
The human brain is an inherently complex and dynamic system. Unlike other exisiting static brain network studies, my current research mainly focuses on understanding the mechanisms of the brain as well as brain diseases by constructing a computational brain imaging model and analysis system that reflects features of the brain. Based on this, the established brain system will contribute to the theoretical basis of pathological brain function control and diagnosis of brain diseases during development. I have introduced a data analysis technique in physics and am searching for a technique for artificial intelligence such as statistical mechanics to analyze and induce dynamic system changes.
Keywords

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CV: click here
Email: jykang01@yonsei.ac.kr

Ph.D. Candidates

Jinseok Eo

PhD Student
Education
Yonsei University
M.Sc&Ph.D. Integrated Course | Medical Science
2015 - Present
Jinseok's Research Interests
My primary research interest is in learning how to design and implement research-specific computational models, and I am now focusing on developing the MNET toolbox, the research method covered in our lab. Besides modeling, I also have a strong interest in neuroscience as well as cognitive science which examines the functions of cognition.
Keywords
    • Modeling


Email: jinseok007@naver.com

Sibaek Seong

PhD Student
Education
Yonsei University
M.Sc. | Medical Science
2017 - Present
Sibaek's Research Interests
I am in the process of diagnosing a disease through CNN using MRI data and analyzing the individual differences in brain structure. Moreover, we are implementing additional diagnostic studies using multi-modality data.
Keywords
    • Machine learning (neural network, RL)
    • Solving Brain-mind-education problem


Email: firstsb@gmail.com

M.S. Students

Junho Sohn

MS Student
Education
Yonsei University
M.S. | Medical Science
2017 - Present
Junho's Research Interests
My long-term research question is to know how the human mind be implemented by a set of equations. With functional connectivity analysis, we can obtain signal correlations between various regions of brain. However, correlations cannot offer causal relationships. Because many scientific questions necessitate a cause-effect relationship, functional connectivity may not be enough to reveal the underlying mechanisms of the brain. Dynamic causal modelling is a major method for estimating effective connectivity, which can offer causal relationships, and this technology is rapidly expanding. However, this top-down representation of the brain is not fully understood yet, and the link between micro-level neurophysiology and macro-level effective connectivity is still unclear. For now, my major interest is reducing the gap between the two areas of neuroscience by developing a multi-scale, multi-modal analysis framework.
Keywords
    • Mathematical Modeling
    • Network dynamics of brain


Email: junho0525@gmail.com

Yoo Sole

MS Student
Education
XXX University
B.S. | XXX
20XX - 20XX
Sole's Research Interests
Will be updated soon.
Keywords
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Email: yoosolemio@gmail.com

Hyunseok Bahng

MS Student
Education
Kongju National University
B.S. | Mathematics Education
2011 - 2017
Hyunseok's Research Interests
By studying the mechanism and causal relationships between different neurons in the human brain, I am working on constructing artificial neural networks and inferring complex brain activities. Going beyond the methodology used in observing the functional connectivity between neurons, I hope to build a mathematical model that would measure various activities of neurons and identify causal relationships between neurons.
Keywords
    • Dynamic Causal Modeling
    • Computational Neuroscience
    • Machine Learning


Email: hsbahng@naver.com

PostDoc Researcher

Haeyoon Choi

Post Doc
Education
Stony Brook University
Ph.D.,M.A. | Cognitive Science, Cognitive/Experimental Psychology
2009- 2015
Haeyoon's Current Project
Cognitive control functions are associated with a wide range of psychological processes, including but not limited to attention, memory, emotional and social processes. Deficits in such functions in children and adolescents are likely to cause problems such as learning disorders and attention deficient hyper-activity disorder. It also may lead to poor social relationships and affect quality of life in the long run. One line of our research is to develop and validate a new diagnosis paradigm that considers both cognitive and non-cognitive functions such as social and communication skills as well as emotional control. In order to improve the accessibility of pre-existing diagnosis strategies, we are developing a new form of computerized remediation therapy program by implementing mobile-based virtual reality (VR) technology. This line of research will open new possibilities in diagnosing and treating cognitive control deficiency by 1) acquiring natural response data (opposed to the types of data that are collected in more controlled settings, such as clinics or laboratories), 2) enabling treatment in an interactive and naturalistic environment, 3) employing artificial intelligence technology to extract principal index from complex multi-dimensional data, 4) strengthening personalized side in executing treatment programs.
Keywords

    • Social cognition
    • Social influences on memory
    • Emotional memory
    • Collective memory
    • fMRI

Email: haeyoon.choi@gmail.com

Chongwon Pae

Post Doc
Education
Yonsei University
Ph.D. | Medical Science
2019
Chongwon's Research Interests

    • Computational Neuroscience
    • Systems Neuroscience
    • Dynamic Causal Modeling
    • Machine Learning for Medical Imaging

Email: paecw@yuhs.ac

Researchers

Maengkeun Oh

Researcher

Image Analyst

Email: ohmk5@yuhs.ac

Internship Students

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