Bi-sigmoid spike-timing dependent plasticity learning rule for magnetic tunnel junction-based SNN
In this study, we explore spintronic synapses composed of several Magnetic Tunnel Junctions (MTJs), leveraging their attractive characteristics such as endurance, nonvolatility, stochasticity, and energy efficiency for hardware implementation of unsupervised neuromorphic systems. Spiking Neural Netw...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2024-05-01
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| Seria: | Frontiers in Neuroscience |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1387339/full |
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