Papers
2
Total Citations
31
H-Index
2
About
Adelyn Tu-Chan is a pioneering researcher at the intersection of neural engineering and motor control, whose work is redefining how we understand brain plasticity for neuroprosthetic applications. Her primary research areas include neural representations of movement, electrocorticography (ECoG)-based brain-computer interfaces (BCIs), and the long-term stability of motor learning. Tu-Chan’s major contributions center on demonstrating that even simple, well-rehearsed imagined movements exhibit a surprising degree of representational plasticity, which can be harnessed for stable, long-term neuroprosthetic control. Her 2025 paper, "Sampling representational plasticity of simple imagined movements across days enables long-term neuroprosthetic control" (29 citations), provides key evidence that the nervous system can flexibly adapt neural representations to new contexts without sacrificing stability. In her earlier 2023 work, "Flexible regulation of representations on a drifting manifold enables long-term stable complex neuroprosthetic control" (2 citations), she further explored how these drifting neural manifolds can be regulated for complex control tasks. Together, these studies challenge traditional views of neural stability and open new pathways for developing adaptive, long-lasting BCIs that could restore movement in paralyzed individuals.
Research Focus
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Top Papers
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