journal article·2025

A single-walled carbon nanotube-based phototransistor for neuromorphic vision applications

Jiahao Yao, Jing Xu, Hui Li, Litao Sun, Jianwen Zhao, Hongxuan Guo

Journal of Materials Chemistry C· Volume 13· Issue 41
Publisher page

Abstract

This schematic shows the key parts of our neuromorphic device and the interaction of pre- and post-synaptic neurons. Input and output pulses emulate biological synapses, enabling energy-efficient neural networks and adaptive learning applications.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: CCD and CMOS Imaging Sensors · Advanced Memory and Neural Computing · Neuroscience and Neural Engineering

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

Affiliations

SEU-FEI Nano-Pico Center, Key Lab of MEMS of Ministry of Education, Southeast University, Nanjing, 210096, China

Suzhou Institute of Nano-tech and Nano-bionics, Key Laboratory of Semiconductor Display Materials and Chips, Division of Nanodevices and Related Nanomaterials, Suzhou, 215123, China

Funding

National Natural Science Foundation of China

References (32)

Show source-provided references
1. Zhou · Nat. Electron. · 2020 · 3 · 66410.1038/s41928-020-00501-9 ↗
2. Jo · Nano Lett. · 2010 · 10 · 129710.1021/nl904092h ↗
3. Adhikari · IEEE Trans. Neural Netw. Learn. Syst. · 2012 · 23 · 142610.1109/TNNLS.2012.2204770 ↗
4. Chen · Adv. Sci. · 2024 · 11 · 240096610.1002/advs.202400966 ↗
5. Wu · Nano Lett. · 2020 · 20 · 801510.1021/acs.nanolett.0c02892 ↗
6. Mu · Small · 2021 · 17 · 210383710.1002/smll.202103837 ↗
7. Wang · Nat. Commun. · 2022 · 13 · 521610.1038/s41467-022-32884-y ↗
8. Liu · Adv. Mater. · 2024 · 36 · 230537010.1002/adma.202305370 ↗
9. Yoon · Nano Res. · 2024 · 17 · 763110.1007/s12274-024-6754-7 ↗
10. Chen · Adv. Funct. Mater. · 2023 · 33 · 220880710.1002/adfm.202208807 ↗
11. Wang · Adv. Intell. Syst. · 2021 · 3 · 200009910.1002/aisy.202000099 ↗
12. Ilyas · Adv. Funct. Mater. · 2022 · 32 · 211097610.1002/adfm.202110976 ↗
13. Zhu · ACS Nano · 2018 · 12 · 124210.1021/acsnano.7b07317 ↗
14. Fan · Adv. Mater. · 2009 · 21 · 373010.1002/adma.200900860 ↗
15. Sekitani · Adv. Mater. · 2010 · 22 · 222810.1002/adma.200904054 ↗
16. Kim · Adv. Mater. · 2013 · 25 · 182210.1002/adma.201202790 ↗
17. Peng · Sci. Sin. Tech. · 2014 · 44 · 107110.1360/N092014-00304 ↗
18. Sekitani · Nat. Mater. · 2009 · 8 · 49410.1038/nmat2459 ↗
19. Iakymchuk · EURASIP J. Image Video Process. · 2015 · 2015 · 410.1186/s13640-015-0059-4 ↗
20. Hao · Neural Networks · 2020 · 121 · 38710.1016/j.neunet.2019.09.007 ↗
21. Rahman · Neurocomputing · 2025 · 618 · 12917010.1016/j.neucom.2024.129170 ↗
22. Lecun · Proceedings of the IEEE · 1998 · 86 · 227810.1109/5.726791 ↗
23. Abbott · Nat. Neurosci. · 2000 · 3 · 117810.1038/81453 ↗
24. Bi · Biol. Cybern. · 2002 · 87 · 31910.1007/s00422-002-0349-7 ↗
25. Caporale · Annu. Rev. Neurosci. · 2008 · 31 · 2510.1146/annurev.neuro.31.060407.125639 ↗
26. Bell · Nature · 1997 · 387 · 27810.1038/387278a0 ↗
27. H.Xiao , K.Rasul and R.Vollgraf , Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms, arXiv , 2017 , preprint, arXiv:1708.07747 10.48550/rXiv:1708.0774710.48550/rXiv:1708.07747 ↗
28. Querlioz · IEEE Trans. Nanotechnol. · 2013 · 12 · 28810.1109/TNANO.2013.2250995 ↗
29. Diehl · Front. Comput. Neurosci · 2015 · 9 · 9910.3389/fncom.2015.00099 ↗
30. Ferré · Front. Comput. Neurosci · 2018 · 12 · 2410.3389/fncom.2018.00024 ↗
31. Liu · Front. Neurosci. · 2021 · 15 · 75687610.3389/fnins.2021.756876 ↗
32. H.Tian , X.Wang , F.Wu , Y.Yang and T.-L.Ren , 2018 IEEE International Electron Devices Meeting (IEDM), 2018, pp. 38.6.1–38.6.4