Feier Xiong
Papers
1
Total Citations
17
H-Index
1
About
Feier Xiong is a pioneering researcher in neuromorphic computing and bioinspired artificial intelligence, with a focus on bridging neural mechanisms and hardware design. Their most-cited work, "Bioinspired Memristive Neural Network Circuit Design of Cross-Modal Associative Memory" (2023, 17 citations), draws inspiration from the cross-modal learning and memory processes of the *Drosophila* brain to develop memristive neural circuits that emulate associative memory. This contribution advances the creation of brain-like AI systems by integrating biological principles with circuit-level implementation, offering a pathway toward more efficient, adaptive computing. Xiong’s research sits at the intersection of neuroscience, materials science, and electrical engineering, demonstrating how biological phenomena can inform the design of next-generation hardware. Their work has implications for edge computing, robotics, and cognitive systems, where low-power, real-time associative learning is critical. With a growing citation impact and a focus on translating neural dynamics into tangible circuits, Xiong is establishing themselves as a key voice in the emerging field of bioinspired memristive systems.
Research Focus
Key Achievements
Top Papers
- 1