The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Recent Progress in Three‐Terminal Artificial Synapses: From Device to System
Abstract
Synapses are essential to the transmission of nervous signals. Synaptic plasticity allows changes in synaptic strength that make a brain capable of learning from experience. During development of neuromorphic electronics, great efforts have been made to design and fabricate electronic devices that emulate synapses. Three‐terminal artificial synapses have the merits of concurrently transmitting signals and learning. Inorganic and organic electronic synapses have mimicked plasticity and learning. Optoelectronic synapses and photonic synapses have the prospective benefits of low electrical energy loss, high bandwidth, and mechanical robustness. These artificial synapses provide new opportunities for the development of neuromorphic systems that can use parallel processing to manipulate datasets in real time. Synaptic devices have also been used to build artificial sensory systems. Here, recent progress in the development and application of three‐terminal artificial synapses and artificial sensory systems is reviewed.
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Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing
Kim, S. J., Im, I. H., Baek, J. H., Choi, S., Park, S. H., Lee, D. E., Kim, J. Y., Kim, S. Y., Park, N.-G., Lee, D., et al. (2025) · Nature Nanotechnology · doi:10.1038/s41565-024-01790-3 · Cited by 157
Liu, L., Xu, W., Ni, Y., Xu, Z., Cui, B., Liu, J., Wei, H., & Xu, W. (2022) · ACS Nano · doi:10.1021/acsnano.1c08482 · Cited by 138
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Metadata
- Authors
- Han, H., Yu, H., Wei, H., Gong, J., & Xu, W.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2019-04-11
- Volume
- 15
- Issue
- 32
- Pages
- e1900695-e1900695
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W2939145700
- Cited by
- 348
- References
- 87
- FWCI
- 13.39
- Type
- journal article
- Language
- en
- Open access
- closed
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