Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification

Table 3

The classification accuracy of SNN on the MNIST dataset.

Author	Method	Accuracy (%)
Diehl and Cook [19]	STDP	95.00
Kheradpisheh et al. [20]	STDP	98.40
Hunsberger and Eliasmith [29]	Conversion	98.37
Diehl et al. [30]	Conversion	99.10
Rueckauer et al. [31]	Conversion	99.44
Lee et al. [32]	Spike-based BP	99.31
Jin et al. [21]	HM2-BP	99.49
Wu et al. [22]	Spike-based BP	99.42
Lee et al. [33]	STDP + spike-based BP	99.28
Lee et al. [24]	Spike-based BP	99.59
Fang et al. [25]	Surrogate gradient	99.72
Wu et al. [26]	Spike-based HP	99.50
This work	SABP	99.62