The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Towards spike-based machine intelligence with neuromorphic computing
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
ImageNet: A large-scale hierarchical image database
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Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
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
Vision meets robotics: The KITTI dataset
Geiger, A., Lenz, P., Stiller, C., & Urtasun, R. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913491297 · Cited by 9,913
Mastering the game of Go without human knowledge
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Cited by
Neuro-inspired computing chips
Zhang, W., Gao, B., Tang, J., Yao, P., Yu, S., Chang, M.-F., Yoo, H.-J., Qian, H., & Wu, H. (2020) · Nature Electronics · doi:10.1038/s41928-020-0435-7 · Cited by 892
Quo vadis artificial intelligence?
Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00022-8 · Cited by 544
The promise of spintronics for unconventional computing
Finocchio, G., Di Ventra, M., Camsari, K. Y., Everschor-Sitte, K., Khalili Amiri, P., & Zeng, Z. (2021) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2020.167506 · Cited by 173
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172
Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition
Xie, K., Zhang, Z., Li, B., Kang, J., Niyato, D., Xie, S., & Wu, Y. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3178808 · Cited by 128
Metadata
- Authors
- Roy, K., Jaiswal, A., & Panda, P.
- Venue
- Nature
- Published
- 2019-11-27
- Volume
- 575
- Issue
- 7784
- Pages
- 607-617
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2990793844
- Cited by
- 2,190
- References
- 31
- FWCI
- 49.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Towards spike-based machine intelligence with neuromorphic computing. https://app.cochat.ai/papers/10.1038/s41586-019-1677-2
- The paper
- Roy, K., Jaiswal, A., & Panda, P. (2019). Towards spike-based machine intelligence with neuromorphic computing. Nature. https://doi.org/10.1038/s41586-019-1677-2
Data sources
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.
