Yomna Asar
Papers
1
Total Citations
4
H-Index
1
About
Yomna Asar investigates the neural mechanisms underlying human standing balance, focusing on how the brain integrates sensory and motor signals to maintain postural stability. Her research reveals that distinct contextual inference processes govern learned versus sensory-evoked postural responses, demonstrating that the brain flexibly adapts its control strategies based on environmental demands. In her most cited work (2024, 4 citations), Asar shows that when sensory information becomes contextually incongruent—such as during conflicting sensory-motor signals—the brain relies on different inferential mechanisms to recalibrate balance. This work bridges computational models of perception with real-world motor control, offering insights into how the central nervous system resolves uncertainty in dynamic environments. Asar’s contributions are particularly relevant to understanding balance impairments in aging and neurological disorders, where sensory integration is compromised. Her innovative use of perturbation paradigms and Bayesian inference frameworks positions her at the forefront of sensorimotor neuroscience, with implications for rehabilitation and human-machine interfaces.
Research Focus
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Top Papers
- 1