Papers
2
Total Citations
31
H-Index
2
About
Yasmin Graham is a leading researcher in neural engineering and brain-computer interfaces (BCIs), with a focus on the dynamic interplay between neural stability and plasticity. Her work investigates how the human brain maintains and adapts neural representations for motor control, particularly in the context of neuroprosthetics. Graham's major contributions include demonstrating that simple, well-rehearsed imagined movements exhibit measurable representational plasticity across days, a finding that challenges traditional views of neural stability. In her highly cited 2025 paper (29 citations), she showed that this plasticity can be harnessed for long-term neuroprosthetic control using electrocorticography (ECoG). Her 2023 study further revealed that flexible regulation of neural representations on a drifting manifold enables stable control of complex neuroprosthetic devices over extended periods. These insights are critical for developing adaptive BCIs that can accommodate natural neural variability, improving the longevity and usability of prosthetic systems. Graham's work bridges fundamental neuroscience and applied neuroengineering, offering a framework for designing next-generation neural interfaces that work with, rather than against, the brain's inherent plasticity. Her research has significant implications for restoring motor function in individuals with paralysis or limb loss.
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