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A Ferroelectric/Electrochemical Modulated Organic Synapse for Ultraflexible, Artificial Visual‐Perception System
Open accessAbstract
Human eyes undertake the majority of information assimilation for learning and memory. Transduction of the color and intensity of the incident light into neural signals is the main process for visual perception. Besides light‐sensitive elements that function as rods and cones, artificial retinal systems require neuromorphic devices to transform light stimuli into post‐synaptic signals. In terms of plasticity timescale, synapses with short‐term plasticity (STP) and long‐term potentiation (LTP) represent the neural foundation for experience acquisition and memory formation. Currently, electrochemical transistors are being researched as STP–LTP devices. However, their LTP timescale is confined to a second‐to‐minute level to give unreliable non‐volatile memory. This issue limits multiple‐plasticity synapses with tunable temporal characteristics and efficient sensory‐memory systems. Herein, a ferroelectric/electrochemical modulated organic synapse is proposed, attaining three prototypes of plasticity: STP/LTP by electrochemical doping/de‐doping and ferroelectric‐LTP from dipole switching. The device supplements conventional electrochemical transistors with 10000‐second‐persistent non‐volatile plasticity and unique threshold switching properties. As a proof‐of‐concept for an artificial visual‐perception system, an ultraflexible, light‐triggered organic neuromorphic device (LOND) is constructed by this synapse. The LOND transduces incident light signals with different frequency, intensity, and wavelength into synaptic signals, both volatile and non‐volatile.
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Cites
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
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Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
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Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
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Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics
Park, H., Lee, Y., Kim, N., Seo, D., Go, G., & Lee, T. (2020) · Advanced Materials · doi:10.1002/adma.201903558 · Cited by 533
An Oxide Schottky Junction Artificial Optoelectronic Synapse
Gao, S., Liu, G., Yang, H., Hu, C., Chen, Q., Gong, G., Xue, W., Yi, X., Shang, J., & Li, R.-W. (2019) · ACS Nano · doi:10.1021/acsnano.9b00340 · Cited by 494
The Future of Memristors: Materials Engineering and Neural Networks
Sun, K., Chen, J., & Yan, X. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202006773 · Cited by 482
Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure
Yu, J., Yang, X., Gao, G., Xiong, Y., Wang, Y., Han, J., Chen, Y., Zhang, H., Sun, Q., & Wang, Z. L. (2021) · Science Advances · doi:10.1126/sciadv.abd9117 · Cited by 389
Sun, T., Feng, B., Huo, J., Xiao, Y., Wang, W., Peng, J., Li, Z., Du, C., Wang, W., Zou, G., et al. (2024) · Nano-Micro Letters · doi:10.1007/s40820-023-01235-x · Cited by 384
Metadata
- Authors
- Wang, H., Zhao, Q., Ni, Z., Li, Q., Liu, H., Yang, Y., Wang, L., Ran, Y., Guo, Y., Hu, W., & Liu, Y.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-09-25
- Volume
- 30
- Issue
- 46
- Pages
- e1803961-e1803961
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2893865906
- Cited by
- 443
- References
- 4
- FWCI
- 15.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Wang, H., Zhao, Q., Ni, Z., Li, Q., Liu, H., Yang, Y., Wang, L., Ran, Y., Guo, Y., Hu, W., & Liu, Y. (2018). A Ferroelectric/Electrochemical Modulated Organic Synapse for Ultraflexible, Artificial Visual‐Perception System. Advanced Materials. https://doi.org/10.1002/adma.201803961
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