Niusha Gomar
Papers
1
Total Citations
7
H-Index
1
About
Niusha Gomar is a researcher whose work sits at the intersection of computational neuroscience and digital hardware design, with a particular focus on bio-inspired locomotion control. Her most-cited paper, "Digital Hardware Implementation of a Biological Central Pattern Generator" (2018), has garnered 7 citations and represents a significant contribution to the field of neuromorphic engineering. In this work, Gomar successfully implemented a Central Pattern Generator (CPG) based on the Hindmarsh-Rose (HR) neuron model in digital hardware, demonstrating how biological neural circuits that control rhythmic movements in animals can be translated into practical robotic and control applications. This achievement bridges the gap between theoretical neuroscience and real-world engineering, offering a pathway toward more efficient and biologically realistic autonomous systems. While her citation count is modest, the foundational nature of her work—combining neural modeling with hardware implementation—positions her as an emerging voice in the development of bio-inspired control systems, with potential implications for prosthetics, robotics, and neural interface technologies.
Research Focus
Key Achievements
Top Papers
- 1