Neuronal Self-Adaptation Enhances Capacity and Robustness of Representation in Spiking Neural Networks

Zhuobin Yang, Yeyao Bao, Liangfu Lv +3

Spiking Neural Networks (SNNs) are promising for energy-efficient, real-time edge computing, yet their performance is often constrained by the limited adaptability of conventional…