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...
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Published in | Nature communications Vol. 15; no. 1; p. 8650 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group
01.01.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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 (WSe2) 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.Realizing complex functions in artificial visual systems is challenging. Here, the authors report a human visual pathway-replicated hardware with a split floating gate crossbar arrays and related peripheral circuits, achieving colour-blindness processing, shape recognition, and self-driven motion tracking. |
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ISSN: | 2041-1723 |
DOI: | 10.1038/s41467-024-52982-3 |