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

Table 4

The classification accuracy of SNN on the CIFAR-10 dataset.

Author		Method		Accuracy (%)
Hunsberger and Eliasmith [29]		Conversion		82.95
Esser et al. [34]		Conversion		89.32
Rueckauer et al. [31]		Conversion		88.82
Sengupta et al. [16]		Conversion		91.55
Rathi et al. [17]		Conversion + STDB		92.22
Stöckl and Maass [18]		FS-conversion		92.42
Wu et al. [23]		Spike-based BP		90.53
Lee et al. [24]		Spike-based BP		90.95
Fang et al. [25]		Surrogate gradient		93.50%
Saeed Kheradpisheh and Maryam [27]		Proxy		93.11%
Wu et al. [26]		Spike-based HP		91.08%
This work		SABP		91.03