The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics
Open accessAbstract
A graphdiyne-based artificial synapse (GAS), exhibiting intrinsic short-term plasticity, has been proposed to mimic biological signal transmission behavior. The impulse response of the GAS has been reduced to several millivolts with competitive femtowatt-level consumption, exceeding the biological level by orders of magnitude. Most importantly, the GAS is capable of parallelly processing signals transmitted from multiple pre-neurons and therefore realizing dynamic logic and spatiotemporal rules. It is also found that the GAS is thermally stable (at 353 K) and environmentally stable (in a relative humidity up to 35%). Our artificial efferent nerve, connecting the GAS with artificial muscles, has been demonstrated to complete the information integration of pre-neurons and the information output of motor neurons, which is advantageous for coalescing multiple sensory feedbacks and reacting to events. Our synaptic element has potential applications in bioinspired peripheral nervous systems of soft electronics, neurorobotics, and biohybrid systems of brain–computer interfaces.
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Memristive devices for computing
Yang, J. J., Strukov, D. B., & Stewart, D. R. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.240 · Cited by 3,885
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
A bioinspired flexible organic artificial afferent nerve
Kim, Y., Chortos, A., Xu, W., Liu, Y., Oh, J. Y., Son, D., Kang, J., Foudeh, A. M., Zhu, C., Lee, Y., et al. (2018) · Science · doi:10.1126/science.aao0098 · Cited by 1,466
Self-citationArtificial optic-neural synapse for colored and color-mixed pattern recognition
Seo, S., Jo, S.-H., Kim, S., Shim, J., Oh, S., Kim, J.-H., Heo, K., Choi, J.-W., Choi, C., Oh, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07572-5 · Cited by 731
Cited by
2D graphdiyne: An emerging carbon material
Fang, Y., Liu, Y., Qi, L., Xue, Y., & Li, Y. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00592h · Cited by 520
Neuromorphic functions with a polyelectrolyte-confined fluidic memristor
Xiong, T., Li, C., He, X., Xie, B., Zong, J., Jiang, Y., Ma, W., Wu, F., Fei, J., Yu, P., et al. (2023) · Science · doi:10.1126/science.adc9150 · Cited by 386
Two-Dimensional Carbon Graphdiyne: Advances in Fundamental and Application Research
Zheng, X., Chen, S., Li, J., Wu, H., Zhang, C., Zhang, D., Chen, X., Gao, Y., He, F., Hui, L., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c03849 · Cited by 283
Self-citationA low-power stretchable neuromorphic nerve with proprioceptive feedback
Lee, Y., Liu, Y., Seo, D.-G., Oh, J. Y., Kim, Y., Li, J., Kang, J., Kim, J., Mun, J., Foudeh, A. M., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00918-x · Cited by 177
Metadata
- Authors
- Wei, H., Shi, R., Sun, L., Yu, H., Gong, J., Liu, C., Xu, Z., Ni, Y., Xu, J., & Xu, W.
- Venue
- Nature Communications
- Published
- 2021-02-16
- Volume
- 12
- Issue
- 1
- Pages
- 1068-1068
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3131664866
- Cited by
- 192
- References
- 4
- FWCI
- 11.02
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wei, H., Shi, R., Sun, L., Yu, H., Gong, J., Liu, C., Xu, Z., Ni, Y., Xu, J., & Xu, W. (2021). Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics. Nature Communications. https://doi.org/10.1038/s41467-021-21319-9
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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