https://www.selleckchem.com/products/CHIR-258.html
Significance Our results support for the first time the use of a memory-based deep learning classifier to decode walking activity from non-invasive brain recordings. We suggest that this classifier, exploited in real time, can be a more effective input for devices restoring locomotion in impaired people.Physical activity (PA) is a proven strategy for reducing risk of chronic disease. Many older adults do not reach recommended levels of activity to achieve health benefits. There is growing interest among scholars and practitioners about
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