CELL
·
2025
·
IF 42.5
Yuqian Ma,Yunuo Chen,Sheng Wang,Zi-Han Chen,Yuanwei Zhang,Ling Huang,Xinxin Zhang,Fei Yin,Yunxuan Wang,Mingzhu Yang,Zhanjun Li,Kai Huang,Xin Fang,Zishuo Li,Minghong Wang,Wenhui Liu,Jia-Nan Li,Longfei Li,Hang Zhao,Min Wei,Yiming Shi,Rong Liu,Mei Zhang,Jutao Chen,Jiawei Shen,Jianjun Meng,Yupeng Yang,Fan Zhang,Xinglong Gong,Gang Han,Tian Xue
Humans cannot perceive infrared light due to the physical thermodynamic properties of photon-detecting opsins. However, the capability to detect invisible multispectral infrared light with the naked eye is highly desirable. Here, we report wearable near-infrared (NIR) upconversion contact lenses (UCLs) with suitable optical properties, hydrophilicity, flexibility, and biocompatibility. Mice with UCLs could recognize NIR temporal and spatial information and make behavioral decisions. Furthermore, human participants wearing UCLs could discriminate NIR information, including temporal coding and spatial images. Notably, we have developed trichromatic UCLs (tUCLs), allowing humans to distinguish multiple spectra of NIR light, which can function as three primary colors, thereby achieving human NIR spatiotemporal color vision. Our research opens up the potential of wearable polymeric materials for non-invasive NIR vision, assisting humans in perceiving and transmitting temporal, spatial, and color dimensions of NIR light.
研究领域:
生物医学工程
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神经科学
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材料科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Nanoscale Advances
·
2022
·Vol. 4
·期 11
·2412-2419
·
IF 5.598
Xuerong Liu,Cui Sun,Zhecheng Guo,Yuejun Zhang,Zheng Zhang,Jie Shang,Zhicheng Zhong,Xiaojian Zhu,Xue Yu,Run-Wei Li
Artificial synapses based on electrolyte gated transistors with conductance modulation characteristics have demonstrated their great potential in emulating the memory functions in the human brain for neuromorphic computing. While previous studies are mostly focused on the emulation of the basic memory functions of homo-synapses using single-gate transistors, multi-gate transistors offer opportunities for the mimicry of more complex and advanced memory formation behaviors in biological hetero-synapses. In this work, we demonstrate an artificial hetero-synapse based on a dual-gate electrolyte transistor that can implement in situ spatiotemporal information integration and storage. We show that electric pulses applied on a single gate or unsynchronized electric pulses applied on dual gates only induce volatile conductance modulation for short-term memory emulation. In contrast, the device integrates the electric pulses coincidently applied on the dual gates in a supralinear manner and exhibits nonvolatile conductance modulation, enabling long-term memory emulation. Further studies prove that artificial neural networks based on such hetero-synaptic transistors can autonomously filter the random noise signals in the dual-gate inputs during spatiotemporal integration, facilitating the formation of accurate and stable memory. Compared to the single-gate synaptic transistor, the classification accuracy of MNIST handwritten digits using the hetero-synaptic transistor is improved from 89.3% to 99.0%. These findings demonstrate the great potential of multi-gate hetero-synaptic transistors in simulating complex spatiotemporal information processing functions and provide new platforms for the design of advanced neuromorphic computing systems.
研究领域:
神经形态工程
·
材料科学
·
电子学
·
人工智能
✓ 已验证
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）