A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing
Yongqing Yue, Zixia Yu, Fangpei Li, Wenbo Peng, Quanzhe Zhu, Yongning He, Michele Norgia · 2024
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Description
Yongqing Yue and co-authors build, in a 2024 study, a bendy artificial synapse that answers to light. Brain-like computing needs parts that mimic how synapses strengthen and fade. Their device layers zinc oxide on a soft base, made with a standard coating method at low cost. Under ultraviolet light it shows key synapse behaviors, such as a response current that grows with repeat pulses.
Growing zinc oxide nanowires on the device sharpened those behaviors a lot. The improved version held long-term strengthening and could shift a memory trace from short-lived to lasting, much like learning. It kept working while bent. The team sees the device as a building block for fake visual systems and for computers that process more like brains, at prices that could scale.
Catalog record
| CREATOR | Yongqing Yue, Zixia Yu, Fangpei Li, Wenbo Peng, Quanzhe Zhu, Yongning He, Michele Norgia |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |