Table 1.
The developed network architecture information.
| SGF | Unit A | Unit B | Unit C | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SNN index(Type*) | A(SP) | B(SP) | C(SP) | D(SP) | E(TE) | F(TE) | G(SP) | H(TE) | I(TE) | J(TE) | K(TE) |
| Input neuron number | Unit A shares 1,764 input neurons | Unit B and C share 16,384 input neurons | |||||||||
| Output neuron number | 16 | 18 | 18 | 16 | 160 | 160 | 2 | 2 | 2 | 2 | 2 |
| Feature vector length | 16 | 18 | 18 | 16 | 160 | 160 | 2 | 2 | 2 | 2 | 2 |
| Number of OPs | 56.0 K | 63.0 K | 63.0 K | 56.0 K | 2.1 M | 2.1 M | 7.0 K | 27.2 K | 27.2 K | 27.2 K | 27.2 K |
| Model size | 304 Byte | 342 Byte | 342 Byte | 304 Byte | 240 Byte | 240 Byte | 2 Byte | 16 Byte | 16 Byte | 16 Byte | 16 Byte |
*SP indicates the spatial SNN and TE indicates temporal SNN.