People
People Search
Categories
Directory
- Information
- Jeong-Woo Sohn
- Professor
- Brain Machine Interface, Neurobiology of Motor Control
- Department of Medical Science, Catholic Kwandong University
- jsohn
- Information
Dr. Sohn’s research interest is neural mechanism of motor control. As its application, he carries on research projects on bi-directional brain machine interface and active-adaptive intelligence for artificial intelligence development. His main research tool is multi electrode implanted array recording and stimulation technique on non-human primate.
He graduated from Seoul National University with bachelor and master degree majoring in nuclear engineering and cognitive science (focused on spiking neural network) respectively. He got Ph.D degree from University of Rochester, in brain and cognitive sciences during which his research theme was sequence motor learning. For his postdoctoral training, he studied on network properties of the primary motor and premotor cortex for motor control at University of Pittsburgh. Before joining Catholic Kwandong University, he was a principle researcher at Medical Device Development Center of Daegu Gyeongbuk Medical Innovation Foundation
- Joon-Young Moon
- Research Professor
- Computational Brain Science, EEG/ECoG & fMRI Experiments/Data Analysis/Modeling, Brain State Transitions and Control
- joon.young.moon
- http://moonbrainlab.org
- Information
- Moon Brain LabIntroductionThe human brain is one of nature’s most complex systems, and studying the brain facilitates the development of new theoretical approaches that can be applied in fields beyond neuroscience. We are particularly interested in the dynamics and state transitions of the human brain, and we study this system in the framework of nonlinear dynamical systems. Our research is motivated by the idea that understanding the dynamics of information flow in the brain will be critical for identifying, monitoring, and ultimately controlling brain state transitions. Our work combines analytical modeling and numerical simulations with multi-modal recordings of neural dynamics (EEG, ECoG, fMRI) during real-world cognitive functions.Selected PublicationsJae Hyung Woo, Christopher J Honey, and Joon-Young Moon, Phase and Amplitude Dynamics of Coupled Oscillator Systems on Complex Networks (2020) Chaos 30, 121102.
Junhyeok Kim*, Joon-Young Moon*, UnCheol Lee, Seunghwan Kim, and Tae-Wook Ko, Various Synchronous States Due to Coupling Strength Inhomogeneity and Coupling Functions in Systems of Coupled Identical Oscillators (2019) Chaos 29, 011106.
Hyoungkyu Kim*, Joon-Young Moon*, George A. Mashour, and UnCheol Lee, Mechanism of Hysteresis in Human Brain Networks During Transitions of Consciousness and Unconsciousness: Theoretical Principles and Empirical Evidence (2018) PLoS Computational Biology 14(8), e1006424.
Joon-Young Moon, Junhyeok Kim, Tae-Wook Ko, Minkyung Kim, Yasser Inturria-Medina, Jee-Hyun Choi, Joseph Lee, George A. Mashour, and UnCheol Lee, Structure Shapes Dynamics and Directionality in Diverse Brain Networks: Mathematical Principles and Empirical Confirmation in Three Species (2017) Scientific Reports 7, 46606.
Joon-Young Moon, UnCheol Lee, Stefanie Blain-Mraes, and George A. Mashour, General Relationship of Global Topology, Local Dynamics, and Directionality in Large-Scale Brain Networks (2015) PloS Computational Biology 11(4), e1004225.
