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. 2022 Mar 31;13:1707. doi: 10.1038/s41467-022-29364-8

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Schematics for a conventional Von Neumann system and b emerging neuromorphic visual system. c Near- and d in-sensor computing architectures for the neuromorphic visual system. The proposed FE-PS-NET uses the architecture shown in d, where FE-PSs act as reconfigurable photosensors.