A Quantized-Weight-Splitting Method of RRAM Arrays for Neuromorphic Applications
In asynchronous Spiking Neural Networks (SNNs), the voltage division between passive resistive random-access memory (RRAM) arrays and neuron circuits presents a significant challenge, affecting the overall network accuracy and power efficiency. This study introduces the quantized-weight-splitting me...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10508959/ |
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