The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Ultrafast machine vision with 2D material neural network image sensors
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Citations
Cites
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
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
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001
All-optical machine learning using diffractive deep neural networks
Lin, X., Rivenson, Y., Yardimci, N. T., Veli, M., Luo, Y., Jarrahi, M., & Ozcan, A. (2018) · Science · doi:10.1126/science.aat8084 · Cited by 2,568
A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
Lichtsteiner, P., Posch, C., & Delbruck, T. (2008) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2007.914337 · Cited by 2,485
Practical Recommendations for Gradient-Based Training of Deep Architectures
Bengio, Y. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8_26 · Cited by 2,259
Training with Noise is Equivalent to Tikhonov Regularization
Bishop, C. M. (1995) · Neural Computation · doi:10.1162/neco.1995.7.1.108 · Cited by 1,325
Analogue signal and image processing with large memristor crossbars
Li, C., Hu, M., Li, Y., Jiang, H., Ge, N., Montgomery, E., Zhang, J., Song, W., Dávila, N., Graves, C. E., et al. (2017) · Nature Electronics · doi:10.1038/s41928-017-0002-z · Cited by 1,292
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“However, although much progress has been made in efficient neuromorphic processing of electrical 13–16 or optical 17–20 signals, the conversion of optical images into the electrical domain remains a bottleneck, particularly in time-critical applications.”
Background
Cited by
Bioinspired in-sensor visual adaptation for accurate perception
Liao, F., Zhou, Z., Kim, B. J., Chen, J., Wang, J., Wan, T., Zhou, Y., Hoang, A. T., Wang, C., Kang, J., et al. (2022) · Nature Electronics · doi:10.1038/s41928-022-00713-1 · Cited by 609
The rise of intelligent matter
Kaspar, C., Ravoo, B. J., van der Wiel, W. G., Wegner, S. V., & Pernice, W. H. P. (2021) · Nature · doi:10.1038/s41586-021-03453-y · Cited by 526
Silicon/2D-material photodetectors: from near-infrared to mid-infrared
Liu, C., Guo, J., Yu, L., Li, J., Zhang, M., Li, H., Shi, Y., & Dai, D. (2021) · Light: Science & Applications · doi:10.1038/s41377-021-00551-4 · Cited by 473
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Wang, C.-Y., Liang, S.-J., Wang, S., Wang, P., Li, Z., Wang, Z., Gao, A., Pan, C., Liu, C., Liu, J., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba6173 · Cited by 452
Artificial intelligence-powered electronic skin
Xu, C., Solomon, S. A., & Gao, W. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00760-z · Cited by 259
Metadata
- Authors
- Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina-Mendoza, A. J., & Mueller, T.
- Venue
- Nature
- Published
- 2020-03-04
- Volume
- 579
- Issue
- 7797
- Pages
- 62-66
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3009994855
- Cited by
- 1,167
- References
- 9
- FWCI
- 43.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina-Mendoza, A. J., & Mueller, T. (2020). Ultrafast machine vision with 2D material neural network image sensors. Nature. https://doi.org/10.1038/s41586-020-2038-x
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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.
