The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Light-Stimulated Synaptic Devices Utilizing Interfacial Effect of Organic Field-Effect Transistors
Abstract
Synaptic transistors stimulated by light waves or photons may offer advantages to the devices, such as wide bandwidth, ultrafast signal transmission, and robustness. However, previously reported light-stimulated synaptic devices generally require special photoelectric properties from the semiconductors and sophisticated device's architectures. In this work, a simple and effective strategy for fabricating light-stimulated synaptic transistors is provided by utilizing interface charge trapping effect of organic field-effect transistors (OFETs). Significantly, our devices exhibited highly synapselike behaviors, such as excitatory postsynaptic current (EPSC) and pair-pulse facilitation (PPF), and presented memory and learning ability. The EPSC decay, PPF curves, and forgetting behavior can be well expressed by mathematical equations for synaptic devices, indicating that interfacial charge trapping effect of OFETs can be utilized as a reliable strategy to realize organic light-stimulated synapses. Therefore, this work provides a simple and effective strategy for fabricating light-stimulated synaptic transistors with both memory and learning ability, which enlightens a new direction for developing neuromorphic devices.
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Cites
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Ohno, T., Hasegawa, T., Tsuruoka, T., Terabe, K., Gimzewski, J. K., & Aono, M. (2011) · Nature Materials · doi:10.1038/nmat3054 · Cited by 1,793
Abbott, L. F., & Regehr, W. G. (2004) · Nature · doi:10.1038/nature03010 · Cited by 1,684
Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
Chang, T., Jo, S.-H., & Lu, W. (2011) · ACS Nano · doi:10.1021/nn202983n · Cited by 1,058
Cited by
A comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
Hou, Y.-X., Li, Y., Zhang, Z.-C., Li, J.-Q., Qi, D.-H., Chen, X.-D., Wang, J.-J., Yao, B.-W., Yu, M.-X., Lu, T.-B., et al. (2021) · ACS Nano · doi:10.1021/acsnano.0c08921 · Cited by 438
Optoelectronic Synaptic Devices for Neuromorphic Computing
Wang, Y., Yin, L., Huang, W., Li, Y., Huang, S., Zhu, Y., Yang, D., & Pi, X. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000099 · Cited by 403
2D Material Based Synaptic Devices for Neuromorphic Computing
Cao, G., Meng, P., Chen, J., Liu, H., Bian, R., Zhu, C., Liu, F., & Liu, Z. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202005443 · Cited by 382
Recent Progress in Three‐Terminal Artificial Synapses: From Device to System
Han, H., Yu, H., Wei, H., Gong, J., & Xu, W. (2019) · Small · doi:10.1002/smll.201900695 · Cited by 348
Metadata
- Authors
- Dai, S., Wu, X., Liu, D., Chu, Y., Wang, K., Yang, B., & Huang, J.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-06-07
- Volume
- 10
- Issue
- 25
- Pages
- 21472-21480
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2807364264
- Cited by
- 306
- References
- 3
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- closed
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