中国物理B ›› 2026, Vol. 35 ›› Issue (4): 48703-048703.doi: 10.1088/1674-1056/ae3c95
• • 上一篇
Qijian Wu(吴奇键)1, Peipei Jin(靳培培)1,†, Xiameng Wu(吴夏萌)1, Meiyuan Gu(顾梅园)1, Wei Zhou(周玮)2, Yujiao Dong(董玉姣)1, Yan Liang(梁燕)1, and Long Chen(陈龙)1
Qijian Wu(吴奇键)1, Peipei Jin(靳培培)1,†, Xiameng Wu(吴夏萌)1, Meiyuan Gu(顾梅园)1, Wei Zhou(周玮)2, Yujiao Dong(董玉姣)1, Yan Liang(梁燕)1, and Long Chen(陈龙)1
摘要: Brain-inspired computing relies on neuronal spiking frequency as a foundational element for information encoding. Bi-directional spiking enables the processing and encoding of multimodal information. The Chua corsage memristor (CCM), endowed with the edge of chaos, can generate spiking dynamics and can be synthesized using only off-the-shelf electronic components, making it suitable for both theoretical analysis and hardware demonstration of frequency-tunable spiking dynamics. This paper employs second- and third-order neuron circuits constructed with a CCM sibling, namely the odd-symmetric CCM, to explore the frequency-tunable characteristics of bi-directional spiking. A quantitative method for calculating the output spiking frequency of neurons is proposed. Simulation results verify the validity of this method. The neuron hardware circuits are implemented using a homemade odd-symmetric CCM circuit board. The experimental results confirm the frequency-tunable spiking of the odd-symmetric CCM-based neurons and reveal the effect of the excitation voltage on the system dynamics.
中图分类号: (Models of single neurons and networks)