Table 2.

Classification accuracy on N-MNIST, DVS-Gesture, and DVS-CIFAR10 datasets

Models	Method	N-MNIST	DVS-Gesture	DVS-CIFAR10
HM2-BP 33	BP	98.88	–	–
SLAYER 53	BP	99.2	93.64	–
TSSL-BP 30 34	BP	99.28	–	–
IIRSNN 54	BP	99.28	–	–
TSSL-BP 100 34	BP	99.4	–	–
STBP 31	BP	99.44	–	–
LISNN 47	BP	99.45	–	–
STBP NeuNorm 32	BP	99.53	–	60.5
BNTT 48	BP	–	–	63.2
SALT 55	BP	–	–	67.1
STBP-tdBN 56	BP	–	96.87	67.8
LMCSNN 57	BP	99.61	97.57	74.8
BackEISNN 49	BP	99.57	–	–
Our method	BP	99.71	98.96	78.95