4 papers
A neuromorphic vision system for open-world visual intelligence
Jiankai Yin, Zheng Miao, Lianghao Guo +13
Time-efficient and robust visual intelligence remains a critical challenge in unstructured open-world environments, yet current approaches often rely on computationally intensive n…
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning
Shengbo Wang, Xuemeng Li, Jialin Ding +5
Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this wo…
Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities
Shengbo Wang, Jingwen Zhao, Tongming Pu +14
Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…
Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
Shengbo Wang, Cong Li, Tongming Pu +5
Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-le…