A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-023-38396-7
Download full text from publisher
References listed on IDEAS
- Yaqian Liu & Di Liu & Changsong Gao & Xianghong Zhang & Rengjian Yu & Xiumei Wang & Enlong Li & Yuanyuan Hu & Tailiang Guo & Huipeng Chen, 2022. "Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Rengjian Yu & Lihua He & Changsong Gao & Xianghong Zhang & Enlong Li & Tailiang Guo & Wenwu Li & Huipeng Chen, 2022. "Programmable ferroelectric bionic vision hardware with selective attention for high-precision image classification," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- J. Feldmann & N. Youngblood & C. D. Wright & H. Bhaskaran & W. H. P. Pernice, 2019. "All-optical spiking neurosynaptic networks with self-learning capabilities," Nature, Nature, vol. 569(7755), pages 208-214, May.
- Binghao Wang & Anish Thukral & Zhaoqian Xie & Limei Liu & Xinan Zhang & Wei Huang & Xinge Yu & Cunjiang Yu & Tobin J. Marks & Antonio Facchetti, 2020. "Flexible and stretchable metal oxide nanofiber networks for multimodal and monolithically integrated wearable electronics," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
- Enlong Li & Changsong Gao & Rengjian Yu & Xiumei Wang & Lihua He & Yuanyuan Hu & Huajie Chen & Huipeng Chen & Tailiang Guo, 2022. "MXene based saturation organic vertical photoelectric transistors with low subthreshold swing," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- J. Feldmann & N. Youngblood & M. Karpov & H. Gehring & X. Li & M. Stappers & M. Gallo & X. Fu & A. Lukashchuk & A. S. Raja & J. Liu & C. D. Wright & A. Sebastian & T. J. Kippenberg & W. H. P. Pernice , 2021. "Publisher Correction: Parallel convolutional processing using an integrated photonic tensor core," Nature, Nature, vol. 591(7849), pages 13-13, March.
- Sourav Dutta & Georgios Detorakis & Abhishek Khanna & Benjamin Grisafe & Emre Neftci & Suman Datta, 2022. "Neural sampling machine with stochastic synapse allows brain-like learning and inference," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Zhongda Sun & Minglu Zhu & Xuechuan Shan & Chengkuo Lee, 2022. "Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Hongwei Tan & Yifan Zhou & Quanzheng Tao & Johanna Rosen & Sebastiaan van Dijken, 2021. "Bioinspired multisensory neural network with crossmodal integration and recognition," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
- Xingyuan Xu & Mengxi Tan & Bill Corcoran & Jiayang Wu & Andreas Boes & Thach G. Nguyen & Sai T. Chu & Brent E. Little & Damien G. Hicks & Roberto Morandotti & Arnan Mitchell & David J. Moss, 2021. "11 TOPS photonic convolutional accelerator for optical neural networks," Nature, Nature, vol. 589(7840), pages 44-51, January.
- Jinhui Zhang & Haimin Yao & Jiaying Mo & Songyue Chen & Yu Xie & Shenglin Ma & Rui Chen & Tao Luo & Weisong Ling & Lifeng Qin & Zuankai Wang & Wei Zhou, 2022. "Finger-inspired rigid-soft hybrid tactile sensor with superior sensitivity at high frequency," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- J. Feldmann & N. Youngblood & M. Karpov & H. Gehring & X. Li & M. Stappers & M. Gallo & X. Fu & A. Lukashchuk & A. S. Raja & J. Liu & C. D. Wright & A. Sebastian & T. J. Kippenberg & W. H. P. Pernice , 2021. "Parallel convolutional processing using an integrated photonic tensor core," Nature, Nature, vol. 589(7840), pages 52-58, January.
- Jie Wang & Changsheng Wu & Yejing Dai & Zhihao Zhao & Aurelia Wang & Tiejun Zhang & Zhong Lin Wang, 2017. "Achieving ultrahigh triboelectric charge density for efficient energy harvesting," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Zhenjia Chen & Zhenyuan Lin & Ji Yang & Cong Chen & Di Liu & Liuting Shan & Yuanyuan Hu & Tailiang Guo & Huipeng Chen, 2024. "Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Xiangyan Meng & Guojie Zhang & Nuannuan Shi & Guangyi Li & José Azaña & José Capmany & Jianping Yao & Yichen Shen & Wei Li & Ninghua Zhu & Ming Li, 2023. "Compact optical convolution processing unit based on multimode interference," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
- Junwei Cheng & Chaoran Huang & Jialong Zhang & Bo Wu & Wenkai Zhang & Xinyu Liu & Jiahui Zhang & Yiyi Tang & Hailong Zhou & Qiming Zhang & Min Gu & Jianji Dong & Xinliang Zhang, 2024. "Multimodal deep learning using on-chip diffractive optics with in situ training capability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Wen Zhou & Bowei Dong & Nikolaos Farmakidis & Xuan Li & Nathan Youngblood & Kairan Huang & Yuhan He & C. David Wright & Wolfram H. P. Pernice & Harish Bhaskaran, 2023. "In-memory photonic dot-product engine with electrically programmable weight banks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Wenting Wang & Ping-Keng Lu & Abhinav Kumar Vinod & Deniz Turan & James F. McMillan & Hao Liu & Mingbin Yu & Dim-Lee Kwong & Mona Jarrahi & Chee Wei Wong, 2022. "Coherent terahertz radiation with 2.8-octave tunability through chip-scale photomixed microresonator optical parametric oscillation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Bowen Bai & Qipeng Yang & Haowen Shu & Lin Chang & Fenghe Yang & Bitao Shen & Zihan Tao & Jing Wang & Shaofu Xu & Weiqiang Xie & Weiwen Zou & Weiwei Hu & John E. Bowers & Xingjun Wang, 2023. "Microcomb-based integrated photonic processing unit," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Xuguang Zhang & Zixuan Zhou & Yijun Guo & Minxue Zhuang & Warren Jin & Bitao Shen & Yujun Chen & Jiahui Huang & Zihan Tao & Ming Jin & Ruixuan Chen & Zhangfeng Ge & Zhou Fang & Ning Zhang & Yadong Liu, 2024. "High-coherence parallelization in integrated photonics," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Han Zhao & Bingzhao Li & Huan Li & Mo Li, 2022. "Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Guangwei Cong & Noritsugu Yamamoto & Takashi Inoue & Yuriko Maegami & Morifumi Ohno & Shota Kita & Shu Namiki & Koji Yamada, 2022. "On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Steven Becker & Dirk Englund & Birgit Stiller, 2024. "An optoacoustic field-programmable perceptron for recurrent neural networks," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- Cansu Demirkiran & Lakshmi Nair & Darius Bunandar & Ajay Joshi, 2024. "A blueprint for precise and fault-tolerant analog neural networks," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- G. Mourgias-Alexandris & M. Moralis-Pegios & A. Tsakyridis & S. Simos & G. Dabos & A. Totovic & N. Passalis & M. Kirtas & T. Rutirawut & F. Y. Gardes & A. Tefas & N. Pleros, 2022. "Noise-resilient and high-speed deep learning with coherent silicon photonics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Chen-Guang Wang & Wuyue Xu & Chong Li & Lili Shi & Junliang Jiang & Tingting Guo & Wen-Cheng Yue & Tianyu Li & Ping Zhang & Yang-Yang Lyu & Jiazheng Pan & Xiuhao Deng & Ying Dong & Xuecou Tu & Sining , 2024. "Integrated and DC-powered superconducting microcomb," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
- Bitao Shen & Haowen Shu & Weiqiang Xie & Ruixuan Chen & Zhi Liu & Zhangfeng Ge & Xuguang Zhang & Yimeng Wang & Yunhao Zhang & Buwen Cheng & Shaohua Yu & Lin Chang & Xingjun Wang, 2023. "Harnessing microcomb-based parallel chaos for random number generation and optical decision making," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
- Xuan-Kun Li & Jian-Xu Ma & Xiang-Yu Li & Jun-Jie Hu & Chuan-Yang Ding & Feng-Kai Han & Xiao-Min Guo & Xi Tan & Xian-Min Jin, 2024. "High-efficiency reinforcement learning with hybrid architecture photonic integrated circuit," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Yiwei Li & Ning An & Zheyi Lu & Yuchen Wang & Bing Chang & Teng Tan & Xuhan Guo & Xizhen Xu & Jun He & Handing Xia & Zhaohui Wu & Yikai Su & Yuan Liu & Yunjiang Rao & Giancarlo Soavi & Baicheng Yao, 2022. "Nonlinear co-generation of graphene plasmons for optoelectronic logic operations," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
- Jingwei Ling & Zhengdong Gao & Shixin Xue & Qili Hu & Mingxiao Li & Kaibo Zhang & Usman A. Javid & Raymond Lopez-Rios & Jeremy Staffa & Qiang Lin, 2024. "Electrically empowered microcomb laser," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
- Mitsumasa Nakajima & Katsuma Inoue & Kenji Tanaka & Yasuo Kuniyoshi & Toshikazu Hashimoto & Kohei Nakajima, 2022. "Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Ming Deng & Michele Cotrufo & Jian Wang & Jianji Dong & Zhichao Ruan & Andrea Alù & Lin Chen, 2024. "Broadband angular spectrum differentiation using dielectric metasurfaces," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Shaofu Xu & Jing Wang & Sicheng Yi & Weiwen Zou, 2022. "High-order tensor flow processing using integrated photonic circuits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Yang He & Raymond Lopez-Rios & Usman A. Javid & Jingwei Ling & Mingxiao Li & Shixin Xue & Kerry Vahala & Qiang Lin, 2023. "High-speed tunable microwave-rate soliton microcomb," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38396-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.