Optimizing electrochemical and ferroelectric synaptic devices: from material selection to performance tuning
Neuromorphic hardware systems emulate the parallel neural networks of the human brain, and synaptic weight storage elements are crucial for enabling energy-efficient information processing. They must represent multiple data states and be able to be updated analogously. In order to realize highly con...
| Main Authors: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
IOP Publishing
2025-01-01
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| Series: | Neuromorphic Computing and Engineering |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1088/2634-4386/adb512 |