Brain and muscle synergies for brain-machine interface decoding
The inspiration for this project stemmed from the need to improve brain-machine interface (BMI) performance, particularly in decoding complex multi-degree-of-freedom (DoF) movements. While the brain handles high-DoF tasks effortlessly, current BMI systems struggle to match this level of control. Our study was motivated by the hypothesis that the brain simplifies high-DoF tasks through synergies, functional groupings of muscles and neural activities. By examining whether these synergies could enhance decoding in implanted BMIs, we aimed to uncover strategies to bridge the gap between natural and artificial control.
Dec 28, 2024
