Multifunctional human visual pathway-replicated hardware based on 2D materials
Artificial visual system empowered by 2D materials-based hardware simulates the functionalities of the human visual system, leading the forefront of artificial intelligence vision. However, retina-mimicked hardware that has not yet fully emulated the neural circuits of visual pathways is restricted from realizing more complex and special functions. In this work, we proposed a human visual pathway-replicated hardware that consists of crossbar arrays with split floating gate 2D tungsten diselenide (WSe<sub>2</sub>) unit devices that simulate the retina and visual cortex, and related connective peripheral circuits that replicate connectomics between the retina and visual cortex. This hardware experimentally displays advanced multi-functions of red-green color-blindness processing, low-power shape recognition, and self-driven motion tracking, promoting the development of machine vision, driverless technology, brain-computer interfaces, and intelligent robotics.
Authors
- Tian Jiang (ORCID: https://orcid.org/0000-0003-3343-5548)
- Wenhao Shi (ORCID: https://orcid.org/0009-0006-3855-0464)
- Xiaohan Meng
- Lei Tong (ORCID: https://orcid.org/0000-0001-6254-5215)
- Zhuiri Peng (ORCID: https://orcid.org/0000-0001-9527-3842)
- Langlang Xu
- Xiangxiang Yu (ORCID: https://orcid.org/0000-0002-3028-7212)
- Lei Ye (ORCID: https://orcid.org/0000-0001-5195-1867)
- Zheng Li (ORCID: https://orcid.org/0000-0002-6555-6371)
- Xiangshui Miao (ORCID: https://orcid.org/0000-0002-3999-7421)
- Xinyu Huang (ORCID: https://orcid.org/0000-0002-3449-1907)
- Gaochen Yang
- Shengjie Lv
- Xiao He (ORCID: https://orcid.org/0000-0002-1065-4927)
- Hao Hao (ORCID: https://orcid.org/0000-0003-3986-3703)
Institutions
- National University of Defense Technology (CN)
- Chinese University of Hong Kong (HK)
- Yangtze University (CN)
- Yangtze Optical Electronic (China) (CN)
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-10-05
- DOI
- https://doi.org/10.1038/s41467-024-52982-3
- Citations
- 39
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 8.14
Funders
- National Natural Science Foundation of China