Spiking generative networks empowered by multiple dynamic experts for lifelong learning

Jie Zhang, Wentao Fan, Xin Liu

Abstract: Highlights•The DL-SGN framework is proposed to addresses catastrophic forgetting in SNNs.•Our model is based on multiple dynamic experts and adversarial training.•Develop a dynamic knowledge adversarial fusion to expand expert module’s capacity.•Employ an assistant module to enhance the student module’s generalization ability.