Learning neuromuscular closed-loop control for better neurorehabilitation
Neurological injuries leave millions of people disabled, and motor recovery is often suboptimal. The impact of current neurorehabilitation machines is limited by the lack of knowledge of their physical interaction with the human body. The EU-funded INTERACT project aims to create multi-scale models of human–machine interaction for novel closed-loop control paradigms. Researchers will use recording and numerical modelling to decode the cellular activity of motor neurons in the spinal cord at a high resolution, aiming to demonstrate how motor dysfunction is repaired by inducing changes in neuromuscular targets. Learning to control the stimuli that govern neuromuscular function will enable machines to co-adapt with the human body and will promote the development of man–machine interfaces from neuroprostheses to robotic limbs and exosuits.
Fields of science
Call for proposal
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