A Biomimetic Self‐Adaptive Neurovision Eye With an Integrated Gel Iris and Retinamorphic Architecture
Source abstract
Abstract
ABSTRACT Biological vision systems integrate light perception with self‐adaptive regulation to ensure a stable view. Mimicking this in an artificial neuromorphic system requires synergistic components for dynamic light control and in‐sensing processing. Here we present a biomimetic self‐adaptive neurovision system featuring an integrated gel iris and retinamorphic architecture. The hydrogel iris, structured as a double concentric ring, autonomously modulates its opacity from 2.95 to 89.85% via a photothermally driven themochromic effect, while the ionogel retina, designed as a hemispherical micropillar array with a photosynaptic ionotronic heterostructure, enables broadband photoperception (360–680 nm), visual learning (paired‐pulse facilitation, 118%), and self‐powered operation. This synergistic integration allows the eye system to maintain high‐fidelity image recognition (accuracy, 97.2%) under strong light exposure, paving the way for emerging zero‐powered soft visual prosthetics and machine vision.
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Research context
OpenAlex topics: Advanced Materials and Mechanics · Photochromic and Fluorescence Chemistry · Electrowetting and Microfluidic Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM) School of Flexible Electronics (Future Technologies) Nanjing Tech University (NanjingTech) Nanjing China
Funding
National Natural Science Foundation of China
References (31)
Show source-provided references
1. 10.1038/s41928‐022‐00789‐910.1038/s41928‐022‐00789‐9 ↗
2. 10.1038/s41586‐020‐2285‐x10.1038/s41586‐020‐2285‐x ↗
3. 10.1038/nature0711310.1038/nature07113 ↗
4. 10.1038/s41467‐023‐37581‐y10.1038/s41467‐023‐37581‐y ↗
5. 10.1002/adfm.20220676510.1002/adfm.202206765 ↗
6. 10.1366/13‐0724810.1366/13‐07248 ↗
7. 10.1364/ao.42476710.1364/ao.424767 ↗
8. 10.1002/adma.20180363710.1002/adma.201803637 ↗
9. 10.1002/adma.20220130310.1002/adma.202201303 ↗
10. 10.1002/adma.20170046310.1002/adma.201700463 ↗
11. 10.1002/advs.20210609210.1002/advs.202106092 ↗
12. 10.1016/j.nanoen.2020.10479010.1016/j.nanoen.2020.104790 ↗
13. 10.1038/s41566‐023‐01232‐x10.1038/s41566‐023‐01232‐x ↗
14. 10.1038/s41467‐024‐47374‐610.1038/s41467‐024‐47374‐6 ↗
15. 10.1038/lsa.2016.6810.1038/lsa.2016.68 ↗
16. 10.1016/j.matt.2022.02.02010.1016/j.matt.2022.02.020 ↗
17. 10.1038/s41467‐023‐42240‐310.1038/s41467‐023‐42240‐3 ↗
18. 10.1039/d3mh01036h10.1039/d3mh01036h ↗
19. 10.1016/j.cej.2022.13538310.1016/j.cej.2022.135383 ↗
20. 10.31635/ccschem.021.20210081810.31635/ccschem.021.202100818 ↗
21. 10.1117/1.oe.57.8.08710210.1117/1.oe.57.8.087102 ↗
22. 10.1364/ol.38.00233610.1364/ol.38.002336 ↗
23. 10.1002/adfm.20200469910.1002/adfm.202004699 ↗
24. 10.1021/acs.jpclett.2c0264510.1021/acs.jpclett.2c02645 ↗
25. 10.1016/j.synthmet.2022.11713810.1016/j.synthmet.2022.117138 ↗
26. 10.1016/j.polymer.2022.12512710.1016/j.polymer.2022.125127 ↗
27. 10.1002/lpor.20230097610.1002/lpor.202300976 ↗
28. 10.1002/adfm.20230319810.1002/adfm.202303198 ↗
29. 10.1002/adfm.20110314810.1002/adfm.201103148 ↗
30. 10.1523/JNEUROSCI.14‐09‐05325.199410.1523/JNEUROSCI.14‐09‐05325.1994 ↗
31. 10.1371/journal.pone.012064410.1371/journal.pone.0120644 ↗