A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation
Neuromorphic computing, especially spiking neural networks (SNNs), has emerged as a promising next‐generation architecture due to its event‐driven nature and capability to emulate the computational structure of the human brain. Among its core components, indium‐gallium‐zinc‐oxide (IGZO)‐based synapt...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2026-07-01
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| Colección: | Advanced Intelligent Systems |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1002/aisy.70374 |
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