Dongyang Xiao

Chengdu University of Technology

Papers

1

Total Citations

29

H-Index

1

About

Dongyang Xiao is a leading researcher in the field of membrane computing and bio-inspired artificial intelligence, with a particular focus on spiking neural P (SN P) systems. His most cited work, "Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers" (2022), has garnered 29 citations and represents a significant breakthrough in neural-like computing. Xiao’s major contribution lies in developing enzymatic numerical spiking neural membrane systems—a novel computational model that integrates biological neuron-inspired spiking mechanisms with numerical processing capabilities. This work bridges symbolic and numerical computation, enabling the design of sophisticated membrane controllers for real-world applications. By encoding information as multisets of symbolized spikes and employing spike-based rewriting rules, Xiao’s models emulate the dynamic, adaptive behavior of biological neurons. His research has profound implications for control systems, robotics, and artificial neural networks, offering a more efficient and biologically plausible alternative to traditional computing paradigms. Xiao’s innovative approach to membrane computing continues to inspire new directions in unconventional computation and bio-inspired system design.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers
29 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chengdu University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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