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. 2021 Sep 1;15:657540. doi: 10.3389/fnins.2021.657540

TABLE 1.

Three convolution layers’ parameters of three branches.

Conv layer SRF MRF MRF
Conv1 Size: 3 × 3 × 5 Size: 3 × 3 × 5 Size: 3 × 3 × 5
Strides: 2, 2, 4 Strides: 2, 2, 4 Strides: 2, 2, 4
Filters: 16 Filters: 16 Filters: 16
Conv2 Size: 2 × 2 × 1 Size: 2 × 2 × 3 Size: 2 × 2 × 5
Strides: 2, 2, 1 Strides: 2, 2, 2 Strides: 2, 2, 4
Filters: 32 Filters: 32 Filters: 32
Conv3 Size: 2 × 2 × 1 Size: 2 × 2 × 3 Size: 2 × 2 × 5
Strides: 2, 2, 1 Strides: 2, 2, 2 Strides: 2, 2, 4
Filters: 64 Filters: 64 Filters: 64

“Size” means the height, width, and depth of the 3D convolution window. “Strides” means the strides of the convolution window along each dimension. “Filters” means the number of output filters in each convolution layer.