Ranjita Dash

Indian Institute of Technology Gandhinagar

Papers

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About

Ranjita Dash investigates the neural control of human balance, with a focus on how the central nervous system (CNS) employs intermittent feedback strategies to maintain upright stance. Her work challenges traditional continuous-control models by demonstrating that the CNS adapts its control intermittency based on task conditions—a key insight into motor control flexibility. Her most-cited paper, "Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance" (2022), has garnered 4 citations, establishing a foundation for understanding how sensory feedback and environmental demands shape postural stability. This research has implications for rehabilitation engineering, particularly in designing assistive devices or therapies for individuals with balance impairments. Dash’s contributions bridge biomechanics, neuroscience, and control theory, offering a nuanced view of human motor adaptation. Her work is notable for its experimental rigor and theoretical depth, positioning her as an emerging voice in the study of sensorimotor control. For students and researchers, her findings underscore the dynamic, context-dependent nature of neural control, inspiring further exploration into how the brain orchestrates stability in everyday tasks.