journal article·2016-02-10

Oxide-based Synaptic Transistors Gated by Sol–Gel Silica Electrolytes

Feng Shao, Yi Yang, Li Qiang Zhu, Ping Feng, Qing Wan

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Abstract

Low-temperature sol-gel processed silica electrolyte films showed a high specific capacitance of 3.0 μF/cm(2) due to the electric-double-layer (EDL) effect. Oxide-based transistors gated by such silica electrolyte films show a high on/off ratio (>10(7)) and a very low operation voltage (<2.0 V). The proton-related dynamic modulation in these devices makes them ideal candidates for biological synapse emulation. Short-term synaptic plasticity, such as paired pulse facilitation, was successfully emulated. Most importantly, spiking and logic operation were also demonstrated when two lateral in-plane gates were used as the presynaptic inputs. Our oxide-based EDL transistors gated by sol-gel processed silica electrolyte films provide an interesting approach for synaptic behavior emulation, which is interesting for brain-inspired neuromorphic systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering

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

Affiliations

School of Electronic Science & Engineering, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

References (46)

Show source-provided references
1. 10.1146/annurev.ne.18.030195.00135110.1146/annurev.ne.18.030195.001351 ↗
2. 10.3389/fnins.2013.0011810.3389/fnins.2013.00118 ↗
3. 10.1109/MSPEC.2012.624756210.1109/MSPEC.2012.6247562 ↗
4. 10.1145/1654059.165412410.1145/1654059.1654124 ↗
5. Bi G.-Q. · J. Neurosci. · 1998 · 18 · 1046410.1523/JNEUROSCI.18-24-10464.1998 ↗
6. 10.1126/science.106702010.1126/science.1067020 ↗
7. 10.1088/0957-4484/24/38/38200110.1088/0957-4484/24/38/382001 ↗
8. 10.1021/nn501824r10.1021/nn501824r ↗
9. 10.1038/nmat305410.1038/nmat3054 ↗
10. 10.1002/adma.20120311610.1002/adma.201203116 ↗
11. 10.1063/1.472991510.1063/1.4729915 ↗
12. 10.1109/16.54303510.1109/16.543035 ↗
13. 10.1021/ja051579+10.1021/ja051579+ ↗
14. 10.1002/adma.20060087110.1002/adma.200600871 ↗
15. 10.1063/1.218651310.1063/1.2186513 ↗
16. 10.1038/nmat258710.1038/nmat2587 ↗
17. 10.1063/1.277278110.1063/1.2772781 ↗
18. 10.1002/adfm.20070125110.1002/adfm.200701251 ↗
19. 10.1002/adfm.20080163310.1002/adfm.200801633 ↗
20. 10.1021/nl202368z10.1021/nl202368z ↗
21. 10.1038/ncomms415810.1038/ncomms4158 ↗
22. Brinker C. J. · 1990
23. 10.1021/cr300399c10.1021/cr300399c ↗
24. 10.1088/0268-1242/10/3/00110.1088/0268-1242/10/3/001 ↗
25. 10.1063/1.136106510.1063/1.1361065 ↗
26. 10.1002/adfm.20080092910.1002/adfm.200800929 ↗
27. 10.1021/acsami.5b0310510.1021/acsami.5b03105 ↗
28. 10.1016/j.solidstatesciences.2012.10.01810.1016/j.solidstatesciences.2012.10.018 ↗
29. 10.1021/nl025941j10.1021/nl025941j ↗
30. 10.1063/1.139471810.1063/1.1394718 ↗
31. 10.1109/TED.2010.209145110.1109/TED.2010.2091451 ↗
32. 10.1063/1.479167310.1063/1.4791673 ↗
33. 10.1103/PhysRevB.55.1210810.1103/PhysRevB.55.12108 ↗
34. 10.1116/1.59054110.1116/1.590541 ↗
35. 10.1039/c3tc30137k10.1039/c3tc30137k ↗
36. 10.1063/1.329432510.1063/1.3294325 ↗
37. 10.1021/ja909110s10.1021/ja909110s ↗
38. 10.1063/1.307940110.1063/1.3079401 ↗
39. 10.1002/adfm.20090058810.1002/adfm.200900588 ↗
40. 10.1016/S0040-6090(96)09041-410.1016/S0040-6090(96)09041-4 ↗
41. 10.1021/am507271e10.1021/am507271e ↗
42. 10.1126/science.285.5435.187010.1126/science.285.5435.1870 ↗
43. 10.1146/annurev.physiol.64.092501.11454710.1146/annurev.physiol.64.092501.114547 ↗
44. 10.1109/LED.2010.210413310.1109/LED.2010.2104133 ↗
45. 10.1039/c3nr05882d10.1039/c3nr05882d ↗
46. 10.1038/nn125310.1038/nn1253 ↗