Omid Rezai
Papers
1
Total Citations
4
H-Index
1
About
Omid Rezai is a neuroscientist whose research lies at the intersection of visual perception and motor control, with a particular focus on how the brain represents three-dimensional object shape to guide grasping. His most cited work, "Modeling the shape hierarchy for visually guided grasping" (2014), investigates the anterior intraparietal area (AIP) in monkeys, demonstrating how neurons encode visual shape information—specifically curvature and gradient cues from the caudal intraparietal area (CIP)—to shape the hand for precise grasping. This contribution provides a computational framework for understanding the hierarchical processing of object geometry in the parietal cortex, bridging visual and motor systems. While his citation count (4) reflects a focused, early-career impact, his work is notable for integrating experimental data with quantitative modeling, offering insights into neural mechanisms underlying dexterous manipulation. Rezai’s research holds implications for robotics and neurorehabilitation, where understanding shape encoding can inform prosthetic design and therapies for motor impairments. His approach exemplifies how computational neuroscience can decode the brain’s strategies for interacting with the physical world.
Research Focus
Key Achievements
Top Papers
- 1Modeling the shape hierarchy for visually guided grasping4 citations · 2014