The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Contact-electrification-activated artificial afferents at femtojoule energy
Open accessAbstract
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory neurons are more readily driven by portable, distributed, and ubiquitous power sources. Here, we report a contact-electrification-activated artificial afferent at femtojoule energy. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS 2 postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). The decay time of the synaptic device is in the range of sensory memory stage. The energy dissipation of the artificial afferents is significantly reduced to 11.9 fJ per spike. Furthermore, the artificial afferents are demonstrated to be capable of recognizing the spatiotemporal information of touch patterns. This work is of great significance for the construction of next-generation neuromorphic sensory network, self-powered biomimetic electronics and intelligent interactive equipment.
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An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263
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
Emerging Artificial Synaptic Devices for Neuromorphic Computing
Wan, Q., Sharbati, M. T., Erickson, J. R., Du, Y., & Xiong, F. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900037 · Cited by 303
Cited by
Cao, X., Xiong, Y., Sun, J., Xie, X., Sun, Q., & Wang, Z. L. (2023) · Nano-Micro Letters · doi:10.1007/s40820-022-00981-8 · Cited by 361
Self-citationNeuro-inspired electronic skin for robots
Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R. (2022) · Science Robotics · doi:10.1126/scirobotics.abl7344 · Cited by 300
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172
Electrochemiluminescent tactile visual synapse enabling in situ health monitoring
Kim, W., Lee, K., Choi, S., Park, E., Kim, G., Ha, J., Kim, Y., Jang, J., Oh, J. H., Kim, H., et al. (2025) · Nature Materials · doi:10.1038/s41563-025-02124-x · Cited by 62
Metadata
- Authors
- Yu, J., Gao, G., Huang, J., Yang, X., Han, J., Zhang, H., Chen, Y., Zhao, C., Sun, Q., & Wang, Z. L.
- Venue
- Nature Communications
- Published
- 2021-03-11
- Volume
- 12
- Issue
- 1
- Pages
- 1581-1581
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3135671352
- Cited by
- 238
- References
- 5
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- gold
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