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Dr. Nicolas Schweighofer’s research focuses on neuro-computational models to understand the neural bases of motor learning. This includes investigations into motor plasticity in the cerebellum, cortical map plasticity and reorganization in the sensorimotor cortex, multiple task learning, and adaptive decision-making during motor learning in healthy and lesioned brains. Predictions are tested through behavioral and/or brain imaging (fMRI and TMS) experiments at USC and with international collaborators. He aims to optimize relearning of motor skills in patients with stroke.
研究兴趣
论文共 155 篇作者统计合作学者相似作者
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Justine Magnard,Timothy R. Macaulay,E. Todd Schroeder, Christopher Laine,James Gordon,Nicolas Schweighofer
Scientific Reportsno. 1 (2024): 1-13
NEURAL NETWORKS (2024): 376-389
bioRxiv (Cold Spring Harbor Laboratory) (2023)
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bioRxiv : the preprint server for biology (2023)
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NEUROREHABILITATION AND NEURAL REPAIRno. 11-12 (2023): 810-822
Journal of neuroengineering and rehabilitationno. 1 (2023): 83-13
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