| Autor: |
Qing Wan, Xiangjing Wang, Chunsheng Chen, Li Zhu, Kailu Shi, Baocheng Peng, Yixin Zhu, Huiwu Mao, Haotian Long, Shuo Ke, Chuanyu Fu, Ying Zhu, Changjin Wan |
| Rok vydání: |
2022 |
| Popis: |
The cone photoreceptors in our eyes selectively transduce the natural light into spiking representations, which endows the brain with high energy-efficiency color vision. However, the cone-like device with color-selectivity and spike-encoding capability remains challenging. Here, we propose a vertical integrated spiking cone photoreceptor (VISCP) array with the structure of ITO/Ta2O5/Ag/IGZO/ITO, which can directly transduce persistent lights into spike trains at a certain rate according to the input wavelengths. The VISCPs have an ultralow power consumption of ≤400 pW per spike in visible light, which is very close to biological cones. In this work, lights with three wavelengths were exploited as pseudo three primary colors to form ‘colorful’ images for recognition tasks, and the device with the ability to discriminate mixed colors shows a better accuracy. Our results would enable hardware spiking neural networks with biologically plausible visual perception and provide great potential for the development of dynamic vision sensors. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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