The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Artificial Synapses with Short- and Long-Term Memory for Spiking Neural Networks Based on Renewable Materials
Abstract
Emulation of biological synapses that perform memory and learning functions is an essential step toward realization of bioinspired neuromorphic systems. Artificial synaptic devices have been developed based mostly on inorganic materials and conventional semiconductor device fabrication processes. Here, we propose flexible biomemristor devices based on lignin by a simple solution process. Lignin is one of the most abundant organic polymers on Earth and is biocompatible, biodegradable, as well as environmentally benign. This memristor emulates several essential synaptic behaviors, including analog memory switching, short-term plasticity, long-term plasticity, spike-rate-dependent plasticity, and short-term to long-term transition. A flexible lignin-based artificial synapse device can be operated without noticeable degradation under mechanical bending test. These results suggest lignin can be a promising key component for artificial synapses and flexible electronic devices.
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Cites
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Cited by
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
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
Wang, M., Luo, Y., Wang, T., Wan, C., Pan, L., Pan, S., He, K., Neo, A., & Chen, X. (2021) · Advanced Materials · doi:10.1002/adma.202003014 · Cited by 451
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
Short-Term Plasticity and Long-Term Potentiation in Artificial Biosynapses with Diffusive Dynamics
Kim, M.-K., & Lee, J.-S. (2018) · ACS Nano · doi:10.1021/acsnano.7b08331 · Cited by 294
Self-citation
Metadata
- Authors
- Park, Y., & Lee, J.-S.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-08-28
- Volume
- 11
- Issue
- 9
- Pages
- 8962-8969
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2749019517
- Cited by
- 393
- References
- 14
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- closed
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