Ahmed Eleryan
Papers
4
Total Citations
54
H-Index
3
About
Ahmed Eleryan is a leading researcher in neural engineering, specializing in brain-machine interfaces (BMIs) and the neural mechanisms of motor control and plasticity. His work focuses on how the brain adapts to long-term BMI use, particularly in the context of amputation. Eleryan’s most-cited study (23 citations) revealed that chronic BMI exposure after amputation induces significant changes in ensemble-level functional connectivity within the primary motor cortex, advancing our understanding of neural plasticity beyond single-neuron activity. He also demonstrated operant conditioning as an effective method for controlling a multiple degree-of-freedom BMI in a primate model of amputation (16 citations), offering insights for prosthetic development. His research on emergent coordination during BMI learning (12 citations) explores how motor cortex activity evolves to support reach-to-grasp movements, drawing parallels to infant motor development. Additionally, Eleryan developed a fast and efficient algorithm for tracking chronically recorded single-units across days, addressing a key challenge in long-term BMI studies. His work has profound implications for restoring motor function in individuals with limb loss, making him a notable contributor to the field of neuroprosthetics.
Research Focus
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Top Papers
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