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Tian, Runfeng (author), Yang, Y. (author), van der Helm, F.C.T. (author), Dewald, J.P.A. (author)
The human nervous system is an ensemble of connected neuronal networks. Modeling and system identification of the human nervous system helps us understand how the brain processes sensory input and controls responses at the systems level. This study aims to propose an advanced approach based on a hierarchical neural network and non-linear...
journal article 2018
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Filatova, O.G. (author), Yang, Y. (author), Dewald, J.P.A. (author), Tian, Runfeng (author), Maceira-Elvira, Pablo (author), Takeda, Yusuke (author), Kwakkel, Gert (author), Yamashita, Okito (author), van der Helm, F.C.T. (author)
In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain. Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anatomical changes in the brain following a stroke. However, low temporal resolution of MRI...
journal article 2018
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Yang, Y. (author), Guliyev, Bekir (author), Schouten, A.C. (author)
Mechanical perturbations applied to the wrist joint typically evoke a stereotypical sequence of cortical and muscle responses. The early cortical responses (<100 ms) are thought be involved in the “rapid” transcortical reaction to the perturbation while the late cortical responses (>100 ms) are related to the “slow” transcortical reaction....
journal article 2017
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Yang, Y. (author), Solis Escalante, T. (author), van de Ruit, M.L. (author), van der Helm, F.C.T. (author), Schouten, A.C. (author)
Coupling between cortical oscillations and muscle activity facilitates neuronal communication during motor control. The linear part of this coupling, known as corticomuscular coherence, has received substantial attention, even though neuronal communication underlying motor control has been demonstrated to be highly nonlinear. A full assessment...
journal article 2016
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