Restoring Touch Through A Demultiplexing Neural Interface
What's Inside
Paralyzed muscles can be reanimated following spinal cord injury (SCI) using a brain-computer interface (BCI) to enhance motor function alone.
In this article, Battelle experts demonstrate how a human with a SCI can regain both motor function and the sense of touch through residual touch signaling.
Featured Experts
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Sam Colachis
Biomedical EngineerColachis focuses on developing assistive technologies that improve the quality of life for individuals with physical or cognitive challenges. He is a key member of the Battelle NeuroLife® program and played a major role in the development and clinical execution of a neural bypass technology that restores conscious control of the fingers and hands to individuals with spinal cord injuries.
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Dave Friedenberg, Ph.D.
Principal Data Scientist & Neurotechnology, Ph.D.Dave is the team lead for machine learning/AI in the Advanced Analytics group at Battelle. His work focuses on applying statistical and machine learning algorithms to complex datasets and leading software teams for complex data processing systems. -
Collin Dunlap
Biomedical EngineerDunlap specializes in biosignal analysis and machine learning and has been a part of the Battelle NeuroLife team for three years. During this time, he has worked on a variety of projects to advance brain-computer interface technology. This includes sensorimotor demultiplexing, automated neural signal disruption detection, and the development of neural decoding and functional electrical stimulation calibration algorithms.
