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Classification accuracy of different SNN models trained using unsupervised STDP on the MNIST dataset.
| SNN models | Network size | Number of synapses | Accuracy (%) |
|---|---|---|---|
| Two-layered SNN (Diehl and Cook, 2015) | 12,800 neurons | 45,977,600 | 95 |
| Liquid-SNN (our work) | 12,800 liquid neurons | 12,697,600 | 89.65 |
| Four-liquid SpiLinC (our work) | 4 × 3,200 liquid neurons | 4,866,048 | 90.90 |
