The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Memristor Bridge Synapses
Abstract
In this paper, we propose a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative, and positive synaptic weightings. Together with three additional transistors, the memristor bridge weighting circuit is able to perform synaptic operation for neural cells. It is compact as both weighting and weight programming are performed in a memristor bridge synapse. It is power efficient, since the operation is based on pulsed input signals. Its input terminals are utilized commonly for applying both weight programming and weight processing signals via time sharing. In this paper, features of the memristor bridge synapses are investigated using the TiO memristor model via simulations.
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Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268
Self-citationNanoionics-based resistive switching memories
Waser, R., & Aono, M. (2007) · Nature Materials · doi:10.1038/nmat2023 · Cited by 4,923
Cellular neural networks: theory
Chua, L. O., & Yang, L. (1988) · IEEE Transactions on Circuits and Systems · doi:10.1109/31.7600 · Cited by 4,769
Self-citationNanoscale 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
Memristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604
Self-citationCellular neural networks: applications
Chua, L. O., & Yang, L. (1988) · IEEE Transactions on Circuits and Systems · doi:10.1109/31.7601 · Cited by 2,375
Self-citation‘Memristive’ switches enable ‘stateful’ logic operations via material implication
Borghetti, J., Snider, G. S., Kuekes, P. J., Yang, J. J., Stewart, D. R., & Williams, R. S. (2010) · Nature · doi:10.1038/nature08940 · Cited by 1,929
Resistance switching memories are memristors
Chua, L. (2011) · Applied Physics A · doi:10.1007/s00339-011-6264-9 · Cited by 1,434
Self-citationThe CNN universal machine: an analogic array computer
Roska, T., & Chua, L. O. (1993) · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · doi:10.1109/82.222815 · Cited by 982
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Cited by
Memristor Emulator for Memristor Circuit Applications
Kim, H., Sah, M. P., Yang, C., Cho, S., & Chua, L. O. (2012) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2012.2188957 · Cited by 453
Self-citationMemristor Bridge Synapse-Based Neural Network and Its Learning
Adhikari, S. P., Yang, C., Kim, H., & Chua, L. O. (2012) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2012.2204770 · Cited by 386
Self-citationNeuromemristive Circuits for Edge Computing: A Review
Krestinskaya, O., James, A. P., & Chua, L. O. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2899262 · Cited by 319
Self-citationPerspective: A review on memristive hardware for neuromorphic computation
Sung, C., Hwang, H., & Yoo, I. K. (2018) · Journal of Applied Physics · doi:10.1063/1.5037835 · Cited by 217
Metadata
- Authors
- Kim, H., Sah, M. P., Yang, C., Roska, T., & Chua, L. O.
- Venue
- Proceedings of the IEEE
- Published
- 2012-06
- Volume
- 100
- Issue
- 6
- Pages
- 2061-2070
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W1970974872
- Cited by
- 290
- References
- 24
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, H., Sah, M. P., Yang, C., Roska, T., & Chua, L. O. (2012). Memristor Bridge Synapses. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2011.2166749
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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.
