We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Vertically integrated spiking cone photoreceptor arrays for color perception.
- Authors
Wang, Xiangjing; Chen, Chunsheng; Zhu, Li; Shi, Kailu; Peng, Baocheng; Zhu, Yixin; Mao, Huiwu; Long, Haotian; Ke, Shuo; Fu, Chuanyu; Zhu, Ying; Wan, Changjin; Wan, Qing
- Abstract
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 metal oxide-based vertically integrated spiking cone photoreceptor array, which can directly transduce persistent lights into spike trains at a certain rate according to the input wavelengths. Such spiking cone photoreceptors have an ultralow power consumption of less than 400 picowatts 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 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. Future intelligent vision systems need efficient capacitor-free spiking photoreceptor for color perception. Here, Wang et al. report a metal oxide-based vertically integrated spiking cone photoreceptor array which transduces light into spike trains with a power consumption of less than 400 picowatts.
- Subjects
COLOR vision; ARTIFICIAL neural networks; RECOGNITION (Psychology); PHOTORECEPTORS; VISUAL perception; ACTION potentials; COMPUTATIONAL neuroscience
- Publication
Nature Communications, 2023, Vol 14, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-023-39143-8