Mukta Vaidya
Papers
5
Total Citations
77
H-Index
4
About
Mukta Vaidya is a neuroscientist and neural engineer whose research sits at the intersection of brain-machine interfaces (BMIs), motor cortical physiology, and neural plasticity. Her work has made significant contributions to understanding how the brain adapts to and learns through neuroprosthetic devices, with particular relevance to restoring function in individuals with limb loss or traumatic brain injury. Vaidya's most-cited contributions explore how long-term BMI exposure reshapes cortical network connectivity in amputee models, revealing that neural plasticity extends beyond single neurons to ensemble-level functional dynamics. Her primate studies on operant conditioning of multi-degree-of-freedom BMIs demonstrated that biofeedback-driven learning can generate goal-directed neuroprosthetic control even when conventional mathematical mappings from motor signals are unavailable. She has also investigated how coordinated reach-to-grasp movements emerge through BMI learning, offering a novel window into motor cortical development. Additional work on hemicraniectomy patients establishes a rare noninvasive platform for studying high-gamma neural signals applicable to clinical BMI systems. Across her body of work, totaling over 75 citations, Vaidya advances both the fundamental neuroscience of motor learning and the practical design of more adaptive, effective neuroprosthetic technologies.
Research Focus
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