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Large-scale web-based approach reveals predictors of successful motor learning - Nature Human Behaviour

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Large-scale web-based approach reveals predictors of successful motor learning - Nature Human Behaviour

Leveraging over 2,000 data sessions from a citizen science website, this large-scale exploratory research study revealed demographic (age, sex and daily computer usage) and task features (task enjoyment and baseline movement times) that predicted the extent of successful sensorimotor adaptation in participants' reaching movements after a visuomotor perturbation.

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Large-scale web-based approach reveals predictors of successful motor learning - Nature Human Behaviour

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Large-scale web-based approach reveals predictors of successful motor learning - Nature Human Behaviour

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