The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Recent Progress in Photonic Synapses for Neuromorphic Systems
Open accessAbstract
Implementing synaptic functions with electronic devices is critical to achieve neuromorphic systems on the hardware platform, as synapses play important roles in brain computing and memory. Synapses modulated by light signals, which are also referred as photonic synapses, can not only make effective use of the outstanding properties of light to provide devices with ultrahigh propagation speed, high bandwidth and low crosstalk but also provide a noncontact writing method, which can facilitate the evolution of optical wireless communication and operation. More importantly, real‐time image processing can also be performed by photonic synapses which possess temporary memory. Thus far, tremendous efforts have been taken to design and fabricate photonic synapses. Herein, a summary of the development of different kinds of emerging materials utilized in photonic synaptic devices including memristors, field‐effect transistors, and phase change memory is presented, followed by the innovative applications of photonic synapses for neuromorphic systems. Finally, some current challenges and future study directions are discussed.
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Cites
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., et al. (2017) · Nature Materials · doi:10.1038/nmat4756 · Cited by 2,358
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
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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
Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing
Kuzum, D., Jeyasingh, R. G. D., Lee, B., & Wong, H.-S. P. (2012) · Nano Letters · doi:10.1021/nl201040y · Cited by 1,267
Fully memristive neural networks for pattern classification with unsupervised learning
Wang, Z., Joshi, S., Savel’ev, S., Song, W., Midya, R., Li, Y., Rao, M., Yan, P., Asapu, S., Zhuo, Y., et al. (2018) · Nature Electronics · doi:10.1038/s41928-018-0023-2 · Cited by 1,106
Self-citationThree-dimensional integration of nanotechnologies for computing and data storage on a single chip
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Artificial optic-neural synapse for colored and color-mixed pattern recognition
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Cited by
Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure
Yu, J., Yang, X., Gao, G., Xiong, Y., Wang, Y., Han, J., Chen, Y., Zhang, H., Sun, Q., & Wang, Z. L. (2021) · Science Advances · doi:10.1126/sciadv.abd9117 · Cited by 389
2D Material Based Synaptic Devices for Neuromorphic Computing
Cao, G., Meng, P., Chen, J., Liu, H., Bian, R., Zhu, C., Liu, F., & Liu, Z. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202005443 · Cited by 382
Organic optoelectronic synapse based on photon-modulated electrochemical doping
Chen, K., Hu, H., Song, I., Gobeze, H. B., Lee, W.-J., Abtahi, A., Schanze, K. S., & Mei, J. (2023) · Nature Photonics · doi:10.1038/s41566-023-01232-x · Cited by 298
Metadata
- Authors
- Zhang, J., Dai, S., Zhao, Y., Zhang, J., & Huang, J.
- Venue
- Advanced Intelligent Systems
- Publisher
- Wiley
- Published
- 2020-01-22
- Volume
- 2
- Issue
- 3
- ISSN
- 2640-4567 (ISSN-L)
- OpenAlex
- W2992438367
- Cited by
- 233
- References
- 9
- FWCI
- 6.61
- Type
- journal article
- Language
- en
- Open access
- gold
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