The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems
Open accessAbstract
The challenges of developing neuromorphic vision systems inspired by the human eye come not only from how to recreate the flexibility, sophistication, and adaptability of animal systems, but also how to do so with computational efficiency and elegance. Similar to biological systems, these neuromorphic circuits integrate functions of image sensing, memory and processing into the device, and process continuous analog brightness signal in real-time. High-integration, flexibility and ultra-sensitivity are essential for practical artificial vision systems that attempt to emulate biological processing. Here, we present a flexible optoelectronic sensor array of 1024 pixels using a combination of carbon nanotubes and perovskite quantum dots as active materials for an efficient neuromorphic vision system. The device has an extraordinary sensitivity to light with a responsivity of 5.1 × 10 7 A/W and a specific detectivity of 2 × 10 16 Jones, and demonstrates neuromorphic reinforcement learning by training the sensor array with a weak light pulse of 1 μW/cm 2.
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LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Ultrasensitive photodetectors based on monolayer MoS2
Lopez-Sanchez, O., Lembke, D., Kayci, M., Radenovic, A., & Kis, A. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2013.100 · Cited by 5,043
Quantum Dot Light‐Emitting Diodes Based on Inorganic Perovskite Cesium Lead Halides (CsPbX3)
Song, J., Li, J., Li, X., Xu, L., Dong, Y., & Zeng, H. (2015) · Advanced Materials · doi:10.1002/adma.201502567 · Cited by 2,896
Self-citationHybrid graphene–quantum dot phototransistors with ultrahigh gain
Konstantatos, G., Badioli, M., Gaudreau, L., Osmond, J., Bernechea, M., de Arquer, F. P. G., Gatti, F., & Koppens, F. H. L. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.60 · Cited by 2,315
A hemispherical electronic eye camera based on compressible silicon optoelectronics
Ko, H. C., Stoykovich, M. P., Song, J., Malyarchuk, V., Choi, W. M., Yu, C.-J., Geddes III, J. B., Xiao, J., Wang, S., Huang, Y., et al. (2008) · Nature · doi:10.1038/nature07113 · Cited by 1,352
Optoelectronic resistive random access memory for neuromorphic vision sensors
Zhou, F., Zhou, Z., Chen, J., Choy, T. H., Wang, J., Zhang, N., Lin, Z., Yu, S., Kang, J., Wong, H.-S. P., et al. (2019) · Nature Nanotechnology · doi:10.1038/s41565-019-0501-3 · Cited by 1,322
Recombination Kinetics in Organic-Inorganic Perovskites: Excitons, Free Charge, and Subgap States
Stranks, S. D., Burlakov, V. M., Leijtens, T., Ball, J. M., Goriely, A., & Snaith, H. J. (2014) · Physical Review Applied · doi:10.1103/physrevapplied.2.034007 · Cited by 1,189
Ultrafast machine vision with 2D material neural network image sensors
Mennel, L., Symonowicz, J., Wachter, S., Polyushkin, D. K., Molina-Mendoza, A. J., & Mueller, T. (2020) · Nature · doi:10.1038/s41586-020-2038-x · Cited by 1,167
Digital cameras with designs inspired by the arthropod eye
Song, Y. M., Xie, Y., Malyarchuk, V., Xiao, J., Jung, I., Choi, K.-J., Liu, Z., Park, H., Lu, C., Kim, R.-H., et al. (2013) · Nature · doi:10.1038/nature12083 · Cited by 1,143
Photogating in Low Dimensional Photodetectors
Fang, H., & Hu, W. (2017) · Advanced Science · doi:10.1002/advs.201700323 · Cited by 986
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Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing
Wu, G., Zhang, X., Feng, G., Wang, J., Zhou, K., Zeng, J., Dong, D., Zhu, F., Yang, C., Zhao, X., et al. (2023) · Nature Materials · doi:10.1038/s41563-023-01676-0 · Cited by 294
Flexible and Wearable Optoelectronic Devices Based on Perovskites
Zhao, R., Gu, Z., Li, P., Zhang, Y., & Song, Y. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202101124 · Cited by 83
Split-Ring Structured All-Inorganic Perovskite Photodetector Arrays for Masterly Internet of Things
Shi, B., Wang, P., Feng, J., Xue, C., Yang, G., Liao, Q., Zhang, M., Zhang, X., Wen, W., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-022-00961-y · Cited by 43
Metadata
- Authors
- Zhu, Q.-B., Li, B., Yang, D.-D., Liu, C., Feng, S., Chen, M.-L., Sun, Y., Tian, Y.-N., Su, X., Wang, X.-M., Qiu, S., Li, Q.-W., Li, X.-M., Zeng, H.-B., Cheng, H.-M., & Sun, D.-M.
- Venue
- Nature Communications
- Published
- 2021-03-19
- Volume
- 12
- Issue
- 1
- Pages
- 1798-1798
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3174385126
- Cited by
- 447
- References
- 46
- FWCI
- 20.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhu, Q.-B., Li, B., Yang, D.-D., Liu, C., Feng, S., Chen, M.-L., Sun, Y., Tian, Y.-N., Su, X., Wang, X.-M., Qiu, S., Li, Q.-W., Li, X.-M., Zeng, H.-B., Cheng, H.-M., & Sun, D.-M. (2021). A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems. Nature Communications. https://doi.org/10.1038/s41467-021-22047-w
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