The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Capacitive neural network with neuro-transistors
Open accessAbstract
Experimental demonstration of resistive neural networks has been the recent focus of hardware implementation of neuromorphic computing. Capacitive neural networks, which call for novel building blocks, provide an alternative physical embodiment of neural networks featuring a lower static power and a better emulation of neural functionalities. Here, we develop neuro-transistors by integrating dynamic pseudo-memcapacitors as the gates of transistors to produce electronic analogs of the soma and axon of a neuron, with “leaky integrate-and-fire” dynamics augmented by a signal gain on the output. Paired with non-volatile pseudo-memcapacitive synapses, a Hebbian-like learning mechanism is implemented in a capacitive switching network, leading to the observed associative learning. A prototypical fully integrated capacitive neural network is built and used to classify inputs of signals.
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Self-citationMemristor—The Missing Circuit Element
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Self-citationShort-term plasticity and long-term potentiation mimicked in single inorganic synapses
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Cited by
Memristive crossbar arrays for brain-inspired computing
Xia, Q., & Yang, J. J. (2019) · Nature Materials · doi:10.1038/s41563-019-0291-x · Cited by 1,800
Self-citationResistive switching materials for information processing
Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0159-3 · Cited by 1,214
Self-citationNeuromorphic nanoelectronic materials
Sangwan, V. K., & Hersam, M. C. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0647-z · Cited by 890
Tang, J., Yuan, F., Shen, X., Wang, Z., Rao, M., He, Y., Sun, Y., Li, X., Zhang, W., Li, Y., et al. (2019) · Advanced Materials · doi:10.1002/adma.201902761 · Cited by 834
Self-citationA comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
Metadata
- Authors
- Wang, Z., Rao, M., Han, J.-W., Zhang, J., Lin, P., Li, Y., Li, C., Song, W., Asapu, S., Midya, R., Zhuo, Y., Jiang, H., Yoon, J. H., Upadhyay, N. K., Joshi, S., Hu, M., Strachan, J. P., Barnell, M., Wu, Q., Wu, H., Qiu, Q., Williams, R. S., Xia, Q., & Yang, J. J.
- Venue
- Nature Communications
- Published
- 2018-08-10
- Volume
- 9
- Issue
- 1
- Pages
- 3208-3208
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2886819279
- Cited by
- 280
- References
- 21
- FWCI
- 11.29
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, Z., Rao, M., Han, J.-W., Zhang, J., Lin, P., Li, Y., Li, C., Song, W., Asapu, S., Midya, R., Zhuo, Y., Jiang, H., Yoon, J. H., Upadhyay, N. K., Joshi, S., Hu, M., Strachan, J. P., Barnell, M., Wu, Q., . . . Yang, J. J. (2018). Capacitive neural network with neuro-transistors. Nature Communications. https://doi.org/10.1038/s41467-018-05677-5
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