Title Computational neurorehabilitation : modeling plasticity and learning to predict recovery Permalink

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  2016

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• Motor System Reorganization After Stroke: Stimulating and Training Toward Perfection.

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• Predicting daily use of the affected upper extremity 1 year after stroke.

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