A Memristor-Based Bipolar Cell Neuron Circuit for Motion Detection and Action Prediction
IEEE Transactions on Circuits and Systems II: Express Briefs(2024)
摘要
In this work, inspired by biological vision systems, a memristor-based bipolar cell neuron circuit (BCNC) is proposed, which can efficiently process incremental information to accurately encode changes in analog signals, improving the systems ability to perceive direction information of object movement. To further verify the feasibility, a BCNC based sensory nervous system constructed for detecting motion and predicting actions. Simulation results demonstrate that compared with traditional LIF neurons, BCNC has enhanced performance (14.2%) in accurately identifying motion and predicting actions in unmanned aerial vehicle (UAV) navigation tasks. This work provides a new idea for enriching the function of memristor based neuron circuit, and provides a new solution for the development of artificial neuron circuit with better biological similarity, and lays a foundation for the development of more intelligent artificial neuromorphic computing systems.
更多查看译文
关键词
Visual information processing,Bipolar cell,Memristor,Sensor-computation integrated system
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要