C
Cheol E. Han
Researcher at Korea University
Publications - 50
Citations - 1800
Cheol E. Han is an academic researcher from Korea University. The author has contributed to research in topics: Medicine & Diffusion MRI. The author has an hindex of 20, co-authored 46 publications receiving 1500 citations. Previous affiliations of Cheol E. Han include Seoul National University & University of Southern California.
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Journal ArticleDOI
Motor Learning Without Doing: Trial-by-Trial Improvement in Motor Performance During Mental Training
Rodolphe J. Gentili,Rodolphe J. Gentili,Rodolphe J. Gentili,Cheol E. Han,Nicolas Schweighofer,Charalambos Papaxanthis,Charalambos Papaxanthis +6 more
TL;DR: The results suggest that the brain uses state estimation, provided by internal forward model predictions, to improve motor performance during mental training and that mental practice can, at least in young healthy subjects and if given after a short bout of physical practice, be successfully substituted to physical practice to improved motor performance.
Motor Learning without Doing: Trial-by-Trial Improvement in Motor
TL;DR: Papaxanthis et al. as discussed by the authors proposed a running head: motor learning without doing (MLW without doing) approach, where the running head is learned without doing.
Journal ArticleDOI
Stroke rehabilitation reaches a threshold.
TL;DR: A computational model of bilateral hand use in arm reaching is developed to study the interactions between adaptive decision making and motor relearning after motor cortex lesion and can explain previously hard to reconcile data on spontaneous arm use in stroke recovery.
Journal ArticleDOI
Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data
TL;DR: It is suggested that core properties of structural brain connectivity, such as the small-world and modular organization, remain stable during brain maturation by focusing streamline loss to specific types of fiber tracts.
Journal ArticleDOI
A Functional Threshold for Long-Term Use of Hand and Arm Function Can Be Determined: Predictions From a Computational Model and Supporting Data From the Extremity Constraint-Induced Therapy Evaluation (EXCITE) Trial
TL;DR: Understanding of the causal and nonlinear relationship between limb function and daily use is important for the future development of cost-effective interventions and prevention of “rehabilitation in vain.”