The DOI matches its Crossref record; 203 of the 203 references it cites were found in a registry or an index.
Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics
Abstract
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising candidate for next‐generation wearable computing, soft robotics, and neuroprosthetics. For realization, with the achievement of simple synaptic behaviors in a single device, the construction of artificial synapses with various functions of sensing and responding and integrated systems to mimic complicated computing, sensing, and responding in biological systems is a prerequisite. Artificial synapses that have learning ability can perceive and react to events in the real world; these abilities expand the neuromorphic applications toward health monitoring and cybernetic devices in the future Internet of Things. To demonstrate the flexible neuromorphic systems successfully, it is essential to develop artificial synapses and nerves replicating the functionalities of the biological counterparts and satisfying the requirements for constructing the elements and the integrated systems such as flexibility, low power consumption, high‐density integration, and biocompatibility. Here, the progress of flexible neuromorphic electronics is addressed, from basic backgrounds including synaptic characteristics, device structures, and mechanisms of artificial synapses and nerves, to applications for computing, soft robotics, and neuroprosthetics. Finally, future research directions toward wearable artificial neuromorphic systems are suggested for this emerging area.
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Cited by
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
Design, manufacturing and applications of wearable triboelectric nanogenerators
Wang, H., Han, M., Song, Y., & Zhang, H. (2021) · Nano Energy · doi:10.1016/j.nanoen.2020.105627 · Cited by 179
A 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
Self-citationA Bioinspired Stretchable Sensory‐Neuromorphic System
Kim, S. H., Baek, G. W., Yoon, J., Seo, S., Park, J., Hahm, D., Chang, J. H., Seong, D., Seo, H., Oh, S., et al. (2021) · Advanced Materials · doi:10.1002/adma.202104690 · Cited by 142
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
Metadata
- Authors
- Park, H., Lee, Y., Kim, N., Seo, D., Go, G., & Lee, T.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-09-26
- Volume
- 32
- Issue
- 15
- Pages
- e1903558-e1903558
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2977226092
- Cited by
- 533
- References
- 203
- FWCI
- 17.89
- Type
- journal article
- Language
- en
- Open access
- closed
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