The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
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The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
Deng, L. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2211477 · Cited by 4,836
A DNA-fuelled molecular machine made of DNA
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Neural Networks: A Systematic Introduction
Rojas, R. (1996) · Medical Entomology and Zoology · Cited by 2,138
Dynamic DNA nanotechnology using strand-displacement reactions
Zhang, D. Y., & Seelig, G. (2011) · Nature Chemistry · doi:10.1038/nchem.957 · Cited by 1,785
NUPACK: Analysis and design of nucleic acid systems
Zadeh, J. N., Steenberg, C. D., Bois, J. S., Wolfe, B. R., Pierce, M. B., Khan, A. R., Dirks, R. M., & Pierce, N. A. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21596 · Cited by 1,670
Making sense of it all: bacterial chemotaxis
Wadhams, G. H., & Armitage, J. P. (2004) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1524 · Cited by 1,489
Control of DNA Strand Displacement Kinetics Using Toehold Exchange
Zhang, D. Y., & Winfree, E. (2009) · Journal of the American Chemical Society · doi:10.1021/ja906987s · Cited by 1,444
Scaling Up Digital Circuit Computation with DNA Strand Displacement Cascades
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Self-citationThe basal ganglia: a vertebrate solution to the selection problem?
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Cited by
Principles and Applications of Nucleic Acid Strand Displacement Reactions
Simmel, F. C., Yurke, B., & Singh, H. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00580 · Cited by 792
Song, T., Eshra, A., Shah, S., Bui, H., Fu, D., Yang, M., Mokhtar, R., & Reif, J. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0544-5 · Cited by 240
Su, H., Xu, J., Wang, Q., Wang, F., & Zhou, X. (2019) · Nature Communications · doi:10.1038/s41467-019-13310-2 · Cited by 94
Nucleic Acid Databases and Molecular-Scale Computing
Song, X., & Reif, J. (2019) · ACS Nano · doi:10.1021/acsnano.9b02562 · Cited by 73
Modeling somatic computation with non-neural bioelectric networks
Manicka, S., & Levin, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-54859-8 · Cited by 41
Metadata
- Authors
- Cherry, K. M., & Qian, L.
- Venue
- Nature
- Published
- 2018-07
- Volume
- 559
- Issue
- 7714
- Pages
- 370-376
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2810268565
- Cited by
- 486
- References
- 27
- FWCI
- 14.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cherry, K. M., & Qian, L. (2018). Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks. Nature. https://doi.org/10.1038/s41586-018-0289-6
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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.
