Karunesh Ganguly

University of California, San Francisco, San Francisco VA Medical Center

Papers

Total Citations

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About

Karunesh Ganguly is a leading neuroscientist whose research sits at the intersection of neural plasticity, motor control, and brain-machine interfaces (BMIs). His work fundamentally addresses how the nervous system balances the stability of neural representations with the need for adaptive plasticity, particularly in the context of long-term neuroprosthetic control. Ganguly’s major contributions include demonstrating that simple, well-rehearsed imagined movements can exhibit stable neural representations over days, enabling long-term, complex control of neuroprosthetic devices—a finding with profound implications for restoring function in paralysis. His most cited work (29 citations) on sampling representational plasticity for neuroprosthetic control, alongside his earlier research on system architecture for stiffness control in BMIs (12 citations), has helped expand the application of BMIs from simulated environments to real-world rehabilitation robotics. By exploring how neural representations can be flexibly regulated on a drifting manifold, Ganguly has provided a framework for achieving stable, complex control in clinical settings. His work is pivotal for students and researchers interested in the neural basis of learning, neurorehabilitation, and the engineering of next-generation assistive technologies.