Spiking generative adversarial network with attention scoring decoding

Linghao Feng, Dongcheng Zhao, Yi Zeng

Abstract: Highlights•Identify two principal challenges in generative models based on SNNs.•Propose our model specifically to address the two challenges.•Introduce a new attention-based scoring decoding technique.•Superior performance on complex datasets compared to prior GAN based on SNNs.•Experimentally compared with the working mechanism of biological brains.