Enhancing Robustness of Memristor Crossbar‐Based Spiking Neural Networks against Nonidealities: A Hybrid Approach for Neuromorphic Computing in Noisy Environments
Memristor crossbar‐based spiking neural networks (SNNs) face challenges caused by nonidealities associated with their hardware‐based neurons and synapses. The key nonidealities include electric‐field noise, conductance noise, and conductance drift. This study investigates the robustness of fully con...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Wiley
2023-11-01
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| Edice: | Advanced Intelligent Systems |
| Témata: | |
| On-line přístup: | https://doi.org/10.1002/aisy.202300411 |
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