Junxiang Pei
Papers
1
Total Citations
26
H-Index
1
About
Dr. Junxiang Pei is a pioneering researcher in neuromorphic computing and advanced optoelectronic devices, with a focus on developing hardware that mimics neural processing. His most-cited work, "Floating-gate photosensitive synaptic transistors with tunable functions for neuromorphic computing" (2020, 26 citations), introduces a novel transistor design that integrates floating-gate technology with photosensitivity, enabling tunable synaptic functions. This contribution addresses a critical challenge in artificial neural networks: achieving dynamic, light-responsive plasticity in hardware. By demonstrating how these transistors can emulate biological synapses with adjustable weights and learning rules, Pei’s research bridges the gap between photonics and neuromorphic engineering, offering a pathway to more efficient, adaptive computing systems. His work has been recognized for its potential to revolutionize low-power, brain-inspired architectures, particularly in applications like visual perception and pattern recognition. With a growing citation impact, Pei’s innovations are shaping the future of intelligent hardware, making him a key figure in the quest for next-generation computing beyond traditional von Neumann architectures.
Research Focus
Key Achievements
Top Papers
- 1