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Table 9.
Accuracy of the models considered
| Model | Accuracy |
|---|---|
| VGG16 | 0.86 |
| ResNet101V2 | 0.88 |
| DenseNet161 | 0.88 |
| Spike train-based | 0.71 |
| Potential-based | 1.00 |