Table 4.

The deep convolutional spiking neural network architectures for MNIST, N-MNIST, and SVHN dataset.

4 layer network				VGG7				ResNet7
Layer type	Kernel size	#o/p feature-maps	Stride	Layer type	Kernel size	#o/p feature-maps	Stride	Layer type	Kernel size	#o/p feature-maps	Stride
Convolution	1 × 5 × 5	20	1	Convolution	3 × 3 × 3	64	1	Convolution	3 × 3 × 3	64	1
Average-pooling	2 × 2		2	Convolution	64 × 3 × 3	64	2	Average-pooling	2 × 2		2
				Average-pooling	2 × 2		2
Convolution	20 × 5 × 5	50	1	Convolution	64 × 3 × 3	128	1	Convolution	64 × 3 × 3	128	1
Average-pooling	2 × 2		2	Convolution	128 × 3 × 3	128	2	Convolution	128 × 3 × 3	128	2
				Convolution	128 × 3 × 3	128	2	Skip convolution	64 × 1 × 1	128	2
				Average-pooling	2 × 2		2
								Convolution	128 × 3 × 3	256	1
								Convolution	256 × 3 × 3	256	2
								Skip convolution	128 × 1 × 1	256	2
Fully-connected		200		Fully-connected		1024		Fully-connected		1024
Output		10		Output		10		Output		10