NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion
Spiking neural networks (SNNs) offer a promising avenue for energy-efficient computations on neuromorphic hardware, leveraging the unique advantages of spike-based signaling. Despite their potential, SNNs often lag behind artificial neural networks (ANNs) in performance, mainly due to the complexity...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IOP Publishing
2025-01-01
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| Saila: | Neuromorphic Computing and Engineering |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1088/2634-4386/ade183 |
| Etiketak: |
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