The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Artificial synapse network on inorganic proton conductor for neuromorphic systems
Open accessAbstract
The basic units in our brain are neurons, and each neuron has more than 1,000 synapse connections. Synapse is the basic structure for information transfer in an ever-changing manner, and short-term plasticity allows synapses to perform critical computational functions in neural circuits. Therefore, the major challenge for the hardware implementation of neuromorphic computation is to develop artificial synapse network. Here in-plane lateral-coupled oxide-based artificial synapse network coupled by proton neurotransmitters are self-assembled on glass substrates at room-temperature. A strong lateral modulation is observed due to the proton-related electrical-double-layer effect. Short-term plasticity behaviours, including paired-pulse facilitation, dynamic filtering and spatiotemporally correlated signal processing are mimicked. Such laterally coupled oxide-based protonic/electronic hybrid artificial synapse network proposed here is interesting for building future neuromorphic systems. Realizing artificial synapses that mirror those found in the brain is a major challenge. Here, the authors demonstrate the fabrication of a laterally coupled oxide-based artificial synapse via a self-assembling process.
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Cites
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Jo, S. H., Chang, T., Ebong, I., Bhadviya, B. B., Mazumder, P., & Lu, W. (2010) · Nano Letters · doi:10.1021/nl904092h · Cited by 4,174 · cited 2×
“[5] Recently, resistive switching memory, memristors or atomic switch have been investigated in biologically inspired neuromorphic circuits.[6-11] Important synaptic learning rules such as spike-timing dependent plasticity (STDP) and short-term memory to long-term memory transition have been demonstrated.”
BackgroundShort-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
Abbott, L. F., & Regehr, W. G. (2004) · Nature · doi:10.1038/nature03010 · Cited by 1,684
Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
Chang, T., Jo, S.-H., & Lu, W. (2011) · ACS Nano · doi:10.1021/nn202983n · Cited by 1,058
Yu, S., Wu, Y., Jeyasingh, R., Kuzum, D., & Wong, H.-S. P. (2011) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2011.2147791 · Cited by 805
Short-term forms of presynaptic plasticity
Fioravante, D., & Regehr, W. G. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.003 · Cited by 375
Cited by
Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641
Two-dimensional materials for next-generation computing technologies
Liu, C., Chen, H., Wang, S., Liu, Q., Jiang, Y.-G., Zhang, D. W., Liu, M., & Zhou, P. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0724-3 · Cited by 1,045
Neuromorphic Functions in PEDOT:PSS Organic Electrochemical Transistors
Gkoupidenis, P., Schaefer, N., Garlan, B., & Malliaras, G. G. (2015) · Advanced Materials · doi:10.1002/adma.201503674 · Cited by 573
Lee, M., Lee, W., Choi, S., Jo, J., Kim, J., Park, S. K., & Kim, Y. (2017) · Advanced Materials · doi:10.1002/adma.201700951 · Cited by 567
Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics
Zhu, J., Yang, Y., Jia, R., Liang, Z., Zhu, W., Rehman, Z. U., Bao, L., Zhang, X., Cai, Y., Song, L., et al. (2018) · Advanced Materials · doi:10.1002/adma.201800195 · Cited by 499
Metadata
- Authors
- Zhu, L. Q., Wan, C. J., Guo, L. Q., Shi, Y., & Wan, Q.
- Venue
- Nature Communications
- Published
- 2014-01-23
- Volume
- 5
- Issue
- 1
- Pages
- 3158-3158
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2069562046
- Cited by
- 849
- References
- 6
- FWCI
- 21.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhu, L. Q., Wan, C. J., Guo, L. Q., Shi, Y., & Wan, Q. (2014). Artificial synapse network on inorganic proton conductor for neuromorphic systems. Nature Communications. https://doi.org/10.1038/ncomms4158
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
