journal article·2026-02

All‐Optical Modulated Bidirectional Responsive Synaptic Devices: Materials, Mechanisms, and Applications

Hao Chen, Dongyue Huang, Zhiruo Zhang, Song Wang, Yinghui Han, Hui Huang

Advanced Optical Materials· Volume 14· Issue 7
Publisher page

Abstract

Abstract Conventional vision sensors based on the von Neumann architecture suffer from high latency, energy inefficiency, and redundant data transfer, which limit their ability to meet the growing demands of artificial visual perception. Inspired by the human retina, where excitatory and inhibitory signaling pathways cooperate to enhance contrast, suppress noise, and adapt to dynamic environments, all‐optical modulated bidirectional responsive synaptic (AOMBRS) devices have emerged as a promising solution. In this review, recent advances in AOMBRS devices, covering diverse material platforms and their underlying mechanisms, are summarized. Further, emerging applications in optical logic operations, associative learning, neuromorphic computing, and adaptive vision, which demonstrate the promise of AOMBRS devices in bridging biological vision and artificial intelligence, are highlighted. Finally, the critical challenges related to material stability, device performance, and large‐scale integration are discussed, and future opportunities for advancing next‐generation neuromorphic hardware are outlined.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Chemistry and Molecular Engineering Peking University Beijing 100871 P. R. China

College of Materials Science and Opto‐Electronic Technology University of Chinese Academy of Sciences Beijing 100049 P. R. China

College of Resources and Environment University of Chinese Academy of Sciences Beijing 101408 China

School of Chemical Engineering and Technology State Key Laboratory of Chemical Engineering and Low‐Carbon Technology Fuzhou International Joint School Tianjin University Tianjin 300072 P. R. China

Funding

National Key Research and Development Program of China · Chinese Academy of Sciences · China Postdoctoral Science Foundation · National Natural Science Foundation of China

References (100+)

Show source-provided references
1. 10.1038/s41586-021-04362-w10.1038/s41586-021-04362-w ↗
2. 10.1038/s41467-021-22047-w10.1038/s41467-021-22047-w ↗
3. 10.1002/adma.20200465910.1002/adma.202004659 ↗
4. 10.1109/85.23838910.1109/85.238389 ↗
5. 10.1038/s41928-017-0006-810.1038/s41928-017-0006-8 ↗
6. 10.1038/s41928-024-01277-y10.1038/s41928-024-01277-y ↗
7. 10.1002/anie.20231363410.1002/anie.202313634 ↗
8. 10.1002/aelm.20230083910.1002/aelm.202300839 ↗
9. 10.1021/acsnano.7b0576210.1021/acsnano.7b05762 ↗
10. 10.1002/adom.20220110410.1002/adom.202201104 ↗
11. 10.1002/adma.20200122710.1002/adma.202001227 ↗
12. 10.1038/s41566-023-01232-x10.1038/s41566-023-01232-x ↗
13. 10.1002/adma.20231015510.1002/adma.202310155 ↗
14. 10.1002/adma.20250471010.1002/adma.202504710 ↗
15. 10.1002/adma.20240353810.1002/adma.202403538 ↗
16. 10.1038/nrn378310.1038/nrn3783 ↗
17. 10.1002/adfm.20240967710.1002/adfm.202409677 ↗
18. 10.1126/sciadv.aba617310.1126/sciadv.aba6173 ↗
19. 10.1021/acsnano.5c0345310.1021/acsnano.5c03453 ↗
20. 10.1002/eem2.7013110.1002/eem2.70131 ↗
21. 10.1002/adfm.20242336010.1002/adfm.202423360 ↗
22. 10.1016/j.mattod.2025.07.02910.1016/j.mattod.2025.07.029 ↗
23. 10.1002/adfm.20231244410.1002/adfm.202312444 ↗
24. 10.1002/adfm.20251824710.1002/adfm.202518247 ↗
25. 10.1002/adfm.20210797310.1002/adfm.202107973 ↗
26. 10.1021/acsami.3c1144110.1021/acsami.3c11441 ↗
27. 10.1002/advs.20251264910.1002/advs.202512649 ↗
28. 10.1038/s41928-025-01433-y10.1038/s41928-025-01433-y ↗
29. 10.1039/D1RA03117A10.1039/D1RA03117A ↗
30. 10.1002/anie.20240735510.1002/anie.202407355 ↗
31. 10.1021/acs.accounts.6b0026610.1021/acs.accounts.6b00266 ↗
32. 10.1039/C8TA09913H10.1039/C8TA09913H ↗
33. 10.1038/nmat365010.1038/nmat3650 ↗
34. 10.1002/aelm.20210140210.1002/aelm.202101402 ↗
35. 10.1002/adfm.20230319810.1002/adfm.202303198 ↗
36. 10.1016/j.joule.2019.01.00410.1016/j.joule.2019.01.004 ↗
37. 10.1039/D2MH01411D10.1039/D2MH01411D ↗
38. 10.1002/adma.20150012410.1002/adma.201500124 ↗
39. 10.1002/admt.20230018710.1002/admt.202300187 ↗
40. 10.3390/mi1112107610.3390/mi11121076 ↗
41. 10.1088/1361-6528/acb44110.1088/1361-6528/acb441 ↗
42. 10.1039/D2NR05109E10.1039/D2NR05109E ↗
43. 10.1002/adfm.20230627210.1002/adfm.202306272 ↗
44. 10.1002/admt.20220177910.1002/admt.202201779 ↗
45. 10.1016/j.scib.2020.09.00210.1016/j.scib.2020.09.002 ↗
46. 10.1002/adom.20220040910.1002/adom.202200409 ↗
47. 10.1002/smll.20210282010.1002/smll.202102820 ↗
48. 10.1088/1361-6528/ae074a10.1088/1361-6528/ae074a ↗
49. 10.1002/adfm.20250095310.1002/adfm.202500953 ↗
50. 10.1002/smll.20250400110.1002/smll.202504001 ↗
51. 10.1007/s12274-021-3381-410.1007/s12274-021-3381-4 ↗
52. 10.1002/adfm.20190199110.1002/adfm.201901991 ↗
53. 10.1002/smll.20190096610.1002/smll.201900966 ↗
54. 10.1038/natrevmats.2017.3310.1038/natrevmats.2017.33 ↗
55. 10.1002/adma.20241078310.1002/adma.202410783 ↗
56. 10.1021/acsnano.3c0216710.1021/acsnano.3c02167 ↗
57. 10.1002/aisy.20220032810.1002/aisy.202200328 ↗
58. 10.1002/adfm.20230567710.1002/adfm.202305677 ↗
59. 10.1002/adfm.20220570910.1002/adfm.202205709 ↗
60. 10.1002/adma.20220681610.1002/adma.202206816 ↗
61. 10.1016/j.nanoen.2025.11094310.1016/j.nanoen.2025.110943 ↗
62. 10.1002/adma.20200623010.1002/adma.202006230 ↗
63. 10.1016/j.nanoen.2019.10400010.1016/j.nanoen.2019.104000 ↗
64. 10.1002/adma.20251018510.1002/adma.202510185 ↗
65. 10.1002/adfm.20200558210.1002/adfm.202005582 ↗
66. L.Hu J.Yang J.Wang P.Cheng L. O.Chua F.Zhuge Arxiv:2004.08077.https://doi.org/10.48550/arXiv.2004.08077.
67. 10.1002/advs.20210463210.1002/advs.202104632 ↗
68. 10.1002/adom.20230008910.1002/adom.202300089 ↗
69. 10.1021/acsnano.4c0227810.1021/acsnano.4c02278 ↗
70. 10.1002/advs.20240516010.1002/advs.202405160 ↗
71. 10.1126/sciadv.adk819910.1126/sciadv.adk8199 ↗
72. 10.1126/sciadv.ady132110.1126/sciadv.ady1321 ↗
73. 10.1063/5.025062110.1063/5.0250621 ↗
74. 10.1002/adma.20241858210.1002/adma.202418582 ↗
75. 10.1063/5.025913410.1063/5.0259134 ↗
76. 10.1002/inf2.1247310.1002/inf2.12473 ↗
77. 10.1002/advs.20170032310.1002/advs.201700323 ↗
78. 10.1002/inf2.1266110.1002/inf2.12661 ↗
79. 10.1002/adma.20200420710.1002/adma.202004207 ↗
80. 10.1002/adfm.20231000110.1002/adfm.202310001 ↗
81. 10.1002/adfm.20140006410.1002/adfm.201400064 ↗
82. 10.1002/smll.20190448210.1002/smll.201904482 ↗
83. 10.1016/j.fmre.2022.06.01910.1016/j.fmre.2022.06.019 ↗
84. 10.1063/5.018550210.1063/5.0185502 ↗
85. 10.1002/adma.20241426110.1002/adma.202414261 ↗
86. 10.1063/5.025788310.1063/5.0257883 ↗
87. 10.1038/s41928-022-00713-110.1038/s41928-022-00713-1 ↗
88. 10.1038/s41467-024-54845-310.1038/s41467-024-54845-3 ↗
89. 10.1002/smll.20250532710.1002/smll.202505327 ↗
90. 10.1109/LED.2024.352103910.1109/LED.2024.3521039 ↗
91. 10.1038/7882910.1038/78829 ↗
92. 10.1146/annurev.neuro.28.061604.13570310.1146/annurev.neuro.28.061604.135703 ↗
93. 10.1002/adma.20241693410.1002/adma.202416934 ↗
94. 10.1002/advs.20240433610.1002/advs.202404336 ↗
95. 10.1002/adom.20250222710.1002/adom.202502227 ↗
96. 10.1021/acsnano.0c0892110.1021/acsnano.0c08921 ↗
97. 10.1016/j.device.2024.10032110.1016/j.device.2024.100321 ↗
98. 10.1038/s41467-022-28374-w10.1038/s41467-022-28374-w ↗
99. 10.1002/adom.20250041610.1002/adom.202500416 ↗
100. 10.1021/acs.nanolett.3c0435810.1021/acs.nanolett.3c04358 ↗