Jigen Peng
Papers
1
Total Citations
67
H-Index
1
About
Jigen Peng is a computational neuroscientist whose research sits at the intersection of biological vision systems and neuromorphic computing. His most recognized work focuses on the neural mechanisms underlying collision detection — a critical capability for both biological organisms and autonomous systems. In his highly cited 2018 study, which has garnered 67 citations, Peng and colleagues developed a sophisticated neuron model that replicates the collision-selective behavior observed in looming-sensitive neurons, such as those found in locusts. By incorporating parallel ON and OFF visual pathways alongside spike frequency adaptation, the model elegantly captures how biological systems distinguish genuine approaching threats from other visual motion patterns. This contribution is particularly significant because it bridges computational neuroscience with practical robotics applications, offering biologically inspired solutions for obstacle avoidance in unmanned vehicles and robotic platforms. Peng's work exemplifies the growing field of neuromorphic engineering, where insights from neural biology are translated into efficient artificial systems. His research has attracted considerable attention from both neuroscientists studying visual processing and engineers developing next-generation collision avoidance technologies, establishing him as a notable contributor to bio-inspired computing.
Research Focus
Key Achievements
Top Papers
- 1