Gan Yang
Papers
1
Total Citations
10
H-Index
1
About
Gan Yang is a leading researcher in the emerging field of neuromorphic computing, with a particular focus on developing advanced hardware for artificial intelligence and robotics. His work centers on the design and application of novel memristive devices, especially van der Waals ferroelectric memtransistors, to emulate biological synaptic plasticity. Yang’s most notable contribution is the experimental demonstration of reward-modulated spike-timing-dependent plasticity (STDP) in these devices, a critical learning rule for reinforcement learning in neural networks. This breakthrough, published in 2025 and already garnering 10 citations, directly enabled a robotic system capable of real-time object recognition and tracking, showcasing the practical potential of his hardware for intelligent, adaptive machines. His research bridges fundamental materials science with cutting-edge AI applications, offering a path toward energy-efficient, brain-inspired computing. Yang’s work is highly regarded for its integration of device physics, circuit design, and robotic implementation, positioning him as a key innovator in the quest to build the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1