Dataset from: Biophysically Constrained Learning from Healthy Neural Priors Improves Motor Decoding in Pathological Cortical Networks
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Dataset from: Biophysically Constrained Learning from Healthy Neural Priors Improves Motor Decoding in Pathological Cortical Networks Author: Yihan Wu1,3, Tao Chang2, Siliang Chen2, Yuxin Quan2, Qiang Sun4, Marc M. Van Hulle4, Yanhui Liu2, Ning Jiang1,3, Dario Farina5*, Yuan Yang2*, Qing Mao2*, and Jiayuan He1,3* Affiliations: 1. National Clinical Research Center for Geriatric, West China Hospital of Sichuan University, Chengdu, Sichuan 610017, China. 2. Department of Neurosurgery, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, China. 3. Med-X Center for Manufacturing, Sichuan University, Chengdu, Sichuan 610017, China. 4. Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, Belgium. 5. Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK. Data Format: Numpy array. nMCG Group Index: [0, 3, 5, 7] MCG Group Index: [1, 2, 4, 6]



