SOURCE-LINKED INTELLIGENCE

A Direct Sensorimotor Connection with the Spared Neural Code of Movement to Regain Motor Function

CORDIS · observation · Publication date unknown

y. We will develop novel sensing, decoding, and feedback methods with precise cellular resolution. This neural interface will map, engage, and augment the spared output of the spinal cord through new deep learning methods and hundreds of fine-tuned electromyographic sensors recording action potentials of individual motor units for the muscles controlling the hand. The output of this interface will enable highly accurate temporal associations between efferent motor neuron activity and sensorimotor feedback by delivering multiple visual and somatosensory inputs. This bidirectional neural interface will entrain and monitor the spared neural pathways at the direct cellular level with the goal of transforming and augmenting the activity of the spared motor neurons into highly functional motor dimensions. Using these new technologies, we aim to answer open questions in movement neuroscience and spinal cord injury.

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recordType

award

status

SIGNED

region

EU

value

1495271

unit

EUR