Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based r...
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| Published in | Nature communications Vol. 12; no. 1; p. 408 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
18.01.2021
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based reservoir computing system by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal. Our system achieves a low word error rate of 0.4% in the spoken-digit recognition and low normalized root mean square error of 0.046 in the time-series prediction of the Hénon map, which outperforms most existing hardware-based reservoir computing systems and also software-based one in the Hénon map prediction task. Our work could pave the road towards high-efficiency memristor-based reservoir computing systems to handle more complex temporal tasks in the future.
Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction error of 0.046 in the Hénon map. |
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| AbstractList | Abstract Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based reservoir computing system by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal. Our system achieves a low word error rate of 0.4% in the spoken-digit recognition and low normalized root mean square error of 0.046 in the time-series prediction of the Hénon map, which outperforms most existing hardware-based reservoir computing systems and also software-based one in the Hénon map prediction task. Our work could pave the road towards high-efficiency memristor-based reservoir computing systems to handle more complex temporal tasks in the future. Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based reservoir computing system by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal. Our system achieves a low word error rate of 0.4% in the spoken-digit recognition and low normalized root mean square error of 0.046 in the time-series prediction of the Hénon map, which outperforms most existing hardware-based reservoir computing systems and also software-based one in the Hénon map prediction task. Our work could pave the road towards high-efficiency memristor-based reservoir computing systems to handle more complex temporal tasks in the future.Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction error of 0.046 in the Hénon map. Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based reservoir computing system by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal. Our system achieves a low word error rate of 0.4% in the spoken-digit recognition and low normalized root mean square error of 0.046 in the time-series prediction of the Hénon map, which outperforms most existing hardware-based reservoir computing systems and also software-based one in the Hénon map prediction task. Our work could pave the road towards high-efficiency memristor-based reservoir computing systems to handle more complex temporal tasks in the future. Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction error of 0.046 in the Hénon map. Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation. In this work, we report a parallel dynamic memristor-based reservoir computing system by applying a controllable mask process, in which the critical parameters, including state richness, feedback strength and input scaling, can be tuned by changing the mask length and the range of input signal. Our system achieves a low word error rate of 0.4% in the spoken-digit recognition and low normalized root mean square error of 0.046 in the time-series prediction of the Hénon map, which outperforms most existing hardware-based reservoir computing systems and also software-based one in the Hénon map prediction task. Our work could pave the road towards high-efficiency memristor-based reservoir computing systems to handle more complex temporal tasks in the future. Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing system capable of tuning critical parameters, achieving classification accuracy of 99.6% in spoken-digit recognition and time-series prediction error of 0.046 in the Hénon map. |
| ArticleNumber | 408 |
| Author | Qian, He Tang, Jianshi Zhong, Yanan Gao, Bin Li, Xinyi Wu, Huaqiang |
| Author_xml | – sequence: 1 givenname: Yanan orcidid: 0000-0003-0400-1441 surname: Zhong fullname: Zhong, Yanan organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University – sequence: 2 givenname: Jianshi orcidid: 0000-0001-8369-0067 surname: Tang fullname: Tang, Jianshi email: jtang@tsinghua.edu.cn organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University – sequence: 3 givenname: Xinyi surname: Li fullname: Li, Xinyi organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University – sequence: 4 givenname: Bin orcidid: 0000-0002-2417-983X surname: Gao fullname: Gao, Bin organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University – sequence: 5 givenname: He surname: Qian fullname: Qian, He organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University – sequence: 6 givenname: Huaqiang orcidid: 0000-0001-8359-7997 surname: Wu fullname: Wu, Huaqiang email: wuhq@tsinghua.edu.cn organization: Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33462233$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.neunet.2019.03.005 10.1038/nnano.2012.240 10.1038/ncomms15199 10.1109/JIOT.2018.2853663 10.1002/adma.201902761 10.1038/s41586-020-1942-4 10.1109/TPAMI.2016.2577031 10.1109/TNNLS.2016.2598655 10.1002/adma.201705914 10.1103/PhysRevLett.120.024102 10.1038/nature06932 10.1126/science.1091277 10.1002/aisy.201900084 10.1109/TNN.2010.2089641 10.1016/j.cosrev.2009.03.005 10.1038/srep00287 10.1021/nn202983n 10.1038/s41467-017-02337-y 10.1038/ncomms4541 10.1162/089976602760407955 10.1038/s41928-019-0313-3 10.1109/TCT.1971.1083337 10.1162/neco.1997.9.8.1735 10.1088/0957-4484/27/30/305201 10.1038/nature14539 10.1038/nature23011 10.1038/s41928-019-0270-x 10.1073/pnas.79.8.2554 10.1038/nmat4756 10.1103/PhysRevLett.108.244101 10.1109/ACCESS.2018.2794584 10.1038/ncomms1476 10.1109/ICCV.2015.312 10.1109/CVPR.2016.91 10.1109/IEDM.2017.8268505 10.1145/2765491.2765531 10.1038/s41565-020-0722-5 10.1371/journal.pone.0155781 10.1109/ICASSP.2013.6639345 10.1109/IJCNN.2006.246804 10.1109/ICASSP.1982.1171644 10.1109/NanoArch.2013.6623028 |
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| References | Hopfield (CR7) 1982; 79 Li (CR45) 2016; 27 CR39 Hu (CR27) 2018; 30 Paquot (CR38) 2012; 2 Rodan, Tino (CR40) 2011; 22 CR13 CR35 Ren, He, Girshick, Sun (CR1) 2017; 39 CR11 CR33 CR10 Cai (CR29) 2019; 2 Chang, Jo, Lu (CR32) 2011; 5 Lukosevicius, Jaeger (CR42) 2009; 3 Pathak (CR14) 2018; 120 Yang, Strukov, Stewart (CR28) 2013; 8 Tanaka (CR15) 2019; 115 Yao (CR25) 2020; 577 Du (CR21) 2017; 8 LeCun, Bengio, Hinton (CR6) 2015; 521 CR2 Torrejon (CR16) 2017; 547 Wang (CR31) 2017; 16 CR4 Antonik (CR20) 2017; 28 CR3 CR5 Tang (CR30) 2019; 31 Chua (CR36) 1971; 18 Nakane, Tanaka, Hirose (CR17) 2018; 6 CR24 Strukov, Snider, Stewart, Williams (CR37) 2008; 453 Vandoorne (CR19) 2014; 5 Maass, Natschläger, Markram (CR9) 2002; 14 Midya (CR23) 2019; 1 CR43 CR41 Hochreiter, Schmidhuber (CR8) 1997; 9 Appeltant (CR34) 2011; 2 Sun (CR44) 2019; 6 Martinenghi (CR18) 2012; 108 Yao (CR26) 2017; 8 Jaeger, Haas (CR12) 2004; 304 Moon (CR22) 2019; 2 20692_CR43 Y LeCun (20692_CR6) 2015; 521 S Hochreiter (20692_CR8) 1997; 9 20692_CR24 20692_CR41 DB Strukov (20692_CR37) 2008; 453 J Torrejon (20692_CR16) 2017; 547 W Maass (20692_CR9) 2002; 14 P Yao (20692_CR25) 2020; 577 G Tanaka (20692_CR15) 2019; 115 J Moon (20692_CR22) 2019; 2 S Ren (20692_CR1) 2017; 39 F Cai (20692_CR29) 2019; 2 M Lukosevicius (20692_CR42) 2009; 3 R Nakane (20692_CR17) 2018; 6 X Li (20692_CR45) 2016; 27 JJ Hopfield (20692_CR7) 1982; 79 20692_CR39 20692_CR4 20692_CR10 20692_CR3 20692_CR11 P Antonik (20692_CR20) 2017; 28 20692_CR33 L Appeltant (20692_CR34) 2011; 2 20692_CR2 R Midya (20692_CR23) 2019; 1 20692_CR13 T Chang (20692_CR32) 2011; 5 20692_CR35 J Pathak (20692_CR14) 2018; 120 M Hu (20692_CR27) 2018; 30 Z Wang (20692_CR31) 2017; 16 L Chua (20692_CR36) 1971; 18 JJ Yang (20692_CR28) 2013; 8 J Tang (20692_CR30) 2019; 31 20692_CR5 R Martinenghi (20692_CR18) 2012; 108 K Vandoorne (20692_CR19) 2014; 5 P Yao (20692_CR26) 2017; 8 C Du (20692_CR21) 2017; 8 X Sun (20692_CR44) 2019; 6 H Jaeger (20692_CR12) 2004; 304 Y Paquot (20692_CR38) 2012; 2 A Rodan (20692_CR40) 2011; 22 |
| References_xml | – volume: 115 start-page: 100 year: 2019 end-page: 123 ident: CR15 article-title: Recent advances in physical reservoir computing: a review publication-title: Neural Netw. doi: 10.1016/j.neunet.2019.03.005 contributor: fullname: Tanaka – volume: 8 start-page: 13 year: 2013 end-page: 24 ident: CR28 article-title: Memristive devices for computing publication-title: Nat. Nanotechnol. doi: 10.1038/nnano.2012.240 contributor: fullname: Stewart – volume: 8 year: 2017 ident: CR26 article-title: Face classification using electronic synapses publication-title: Nat. Commun. doi: 10.1038/ncomms15199 contributor: fullname: Yao – ident: CR43 – volume: 6 start-page: 679 year: 2019 end-page: 691 ident: CR44 article-title: ResInNet: a novel deep neural network with feature reuse for internet of things publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2018.2853663 contributor: fullname: Sun – volume: 31 start-page: 1902761 year: 2019 ident: CR30 article-title: Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges publication-title: Adv. Mater. doi: 10.1002/adma.201902761 contributor: fullname: Tang – volume: 577 start-page: 641 year: 2020 end-page: 646 ident: CR25 article-title: Fully hardware-implemented memristor convolutional neural network publication-title: Nature doi: 10.1038/s41586-020-1942-4 contributor: fullname: Yao – ident: CR4 – ident: CR39 – ident: CR2 – volume: 39 start-page: 1137 year: 2017 end-page: 1149 ident: CR1 article-title: Faster R-CNN: towards real-time object detection with region proposal networks publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2016.2577031 contributor: fullname: Sun – volume: 28 start-page: 2686 year: 2017 end-page: 2698 ident: CR20 article-title: Online training of an opto-electronic reservoir computer applied to real-time channel equalization publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNNLS.2016.2598655 contributor: fullname: Antonik – volume: 30 start-page: 1705914 year: 2018 ident: CR27 article-title: Memristor-based analog computation and neural network classification with a dot product engine publication-title: Adv. Mater. doi: 10.1002/adma.201705914 contributor: fullname: Hu – ident: CR10 – ident: CR33 – ident: CR35 – volume: 120 start-page: 024102 year: 2018 ident: CR14 article-title: Model-free prediction of large spatiotemporally chaotic systems from data: a reservoir computing approach publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.120.024102 contributor: fullname: Pathak – volume: 453 start-page: 80 year: 2008 end-page: 83 ident: CR37 article-title: The missing memristor found publication-title: Nature doi: 10.1038/nature06932 contributor: fullname: Williams – volume: 304 start-page: 78 year: 2004 end-page: 80 ident: CR12 article-title: Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication publication-title: Science doi: 10.1126/science.1091277 contributor: fullname: Haas – volume: 1 start-page: 1900084 year: 2019 ident: CR23 article-title: Reservoir computing using diffusive memristors publication-title: Adv. Intell. Syst. doi: 10.1002/aisy.201900084 contributor: fullname: Midya – volume: 22 start-page: 131 year: 2011 end-page: 144 ident: CR40 article-title: Minimum complexity echo state network publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2010.2089641 contributor: fullname: Tino – volume: 3 start-page: 127 year: 2009 end-page: 149 ident: CR42 article-title: Survey: reservoir computing approaches to recurrent neural network training publication-title: Comput. Sci. Rev. doi: 10.1016/j.cosrev.2009.03.005 contributor: fullname: Jaeger – volume: 2 start-page: 287 year: 2012 end-page: 287 ident: CR38 article-title: Optoelectronic reservoir computing publication-title: Sci. Rep. doi: 10.1038/srep00287 contributor: fullname: Paquot – volume: 5 start-page: 7669 year: 2011 end-page: 7676 ident: CR32 article-title: Short-term memory to long-term memory transition in a nanoscale memristor publication-title: ACS Nano doi: 10.1021/nn202983n contributor: fullname: Lu – volume: 8 year: 2017 ident: CR21 article-title: Reservoir computing using dynamic memristors for temporal information processing publication-title: Nat. Commun. doi: 10.1038/s41467-017-02337-y contributor: fullname: Du – ident: CR3 – volume: 5 year: 2014 ident: CR19 article-title: Experimental demonstration of reservoir computing on a silicon photonics chip publication-title: Nat. Commun. doi: 10.1038/ncomms4541 contributor: fullname: Vandoorne – volume: 14 start-page: 2531 year: 2002 end-page: 2560 ident: CR9 article-title: Real-time computing without stable states: a new framework for neural computation based on perturbations publication-title: Neural Comput. doi: 10.1162/089976602760407955 contributor: fullname: Markram – volume: 2 start-page: 480 year: 2019 end-page: 487 ident: CR22 article-title: Temporal data classification and forecasting using a memristor-based reservoir computing system publication-title: Nat. Electron. doi: 10.1038/s41928-019-0313-3 contributor: fullname: Moon – ident: CR13 – ident: CR11 – volume: 18 start-page: 507 year: 1971 end-page: 519 ident: CR36 article-title: Memristor-the missing circuit element publication-title: IEEE Trans. Circuit Theory doi: 10.1109/TCT.1971.1083337 contributor: fullname: Chua – volume: 9 start-page: 1735 year: 1997 end-page: 1780 ident: CR8 article-title: Long short-term memory publication-title: Neural Comput. doi: 10.1162/neco.1997.9.8.1735 contributor: fullname: Schmidhuber – volume: 27 start-page: 305201 year: 2016 ident: CR45 article-title: Electrode-induced digital-to-analog resistive switching in TaOx-based RRAM devices publication-title: Nanotechnology doi: 10.1088/0957-4484/27/30/305201 contributor: fullname: Li – volume: 521 start-page: 436 year: 2015 end-page: 444 ident: CR6 article-title: Deep learning publication-title: Nature doi: 10.1038/nature14539 contributor: fullname: Hinton – volume: 547 start-page: 428 year: 2017 end-page: 431 ident: CR16 article-title: Neuromorphic computing with nanoscale spintronic oscillators publication-title: Nature doi: 10.1038/nature23011 contributor: fullname: Torrejon – volume: 2 start-page: 290 year: 2019 end-page: 299 ident: CR29 article-title: A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations publication-title: Nat. Electron. doi: 10.1038/s41928-019-0270-x contributor: fullname: Cai – ident: CR5 – volume: 79 start-page: 2554 year: 1982 end-page: 2558 ident: CR7 article-title: Neural networks and physical systems with emergent collective computational abilities publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.79.8.2554 contributor: fullname: Hopfield – volume: 16 start-page: 101 year: 2017 end-page: 108 ident: CR31 article-title: Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing publication-title: Nat. Mater. doi: 10.1038/nmat4756 contributor: fullname: Wang – ident: CR41 – volume: 108 start-page: 244101 year: 2012 ident: CR18 article-title: Photonic nonlinear transient computing with multiple-delay wavelength dynamics publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.108.244101 contributor: fullname: Martinenghi – volume: 6 start-page: 4462 year: 2018 end-page: 4469 ident: CR17 article-title: Reservoir computing with spin waves excited in a garnet film publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2794584 contributor: fullname: Hirose – ident: CR24 – volume: 2 year: 2011 ident: CR34 article-title: Information processing using a single dynamical node as complex system publication-title: Nat. Commun. doi: 10.1038/ncomms1476 contributor: fullname: Appeltant – volume: 577 start-page: 641 year: 2020 ident: 20692_CR25 publication-title: Nature doi: 10.1038/s41586-020-1942-4 contributor: fullname: P Yao – volume: 115 start-page: 100 year: 2019 ident: 20692_CR15 publication-title: Neural Netw. doi: 10.1016/j.neunet.2019.03.005 contributor: fullname: G Tanaka – volume: 5 start-page: 7669 year: 2011 ident: 20692_CR32 publication-title: ACS Nano doi: 10.1021/nn202983n contributor: fullname: T Chang – volume: 2 start-page: 287 year: 2012 ident: 20692_CR38 publication-title: Sci. Rep. doi: 10.1038/srep00287 contributor: fullname: Y Paquot – ident: 20692_CR13 – volume: 6 start-page: 679 year: 2019 ident: 20692_CR44 publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2018.2853663 contributor: fullname: X Sun – volume: 22 start-page: 131 year: 2011 ident: 20692_CR40 publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2010.2089641 contributor: fullname: A Rodan – volume: 27 start-page: 305201 year: 2016 ident: 20692_CR45 publication-title: Nanotechnology doi: 10.1088/0957-4484/27/30/305201 contributor: fullname: X Li – volume: 120 start-page: 024102 year: 2018 ident: 20692_CR14 publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.120.024102 contributor: fullname: J Pathak – volume: 453 start-page: 80 year: 2008 ident: 20692_CR37 publication-title: Nature doi: 10.1038/nature06932 contributor: fullname: DB Strukov – ident: 20692_CR4 doi: 10.1109/ICCV.2015.312 – volume: 8 year: 2017 ident: 20692_CR26 publication-title: Nat. Commun. doi: 10.1038/ncomms15199 contributor: fullname: P Yao – volume: 28 start-page: 2686 year: 2017 ident: 20692_CR20 publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNNLS.2016.2598655 contributor: fullname: P Antonik – volume: 31 start-page: 1902761 year: 2019 ident: 20692_CR30 publication-title: Adv. Mater. doi: 10.1002/adma.201902761 contributor: fullname: J Tang – volume: 8 start-page: 13 year: 2013 ident: 20692_CR28 publication-title: Nat. Nanotechnol. doi: 10.1038/nnano.2012.240 contributor: fullname: JJ Yang – volume: 14 start-page: 2531 year: 2002 ident: 20692_CR9 publication-title: Neural Comput. doi: 10.1162/089976602760407955 contributor: fullname: W Maass – volume: 547 start-page: 428 year: 2017 ident: 20692_CR16 publication-title: Nature doi: 10.1038/nature23011 contributor: fullname: J Torrejon – ident: 20692_CR2 doi: 10.1109/CVPR.2016.91 – volume: 5 year: 2014 ident: 20692_CR19 publication-title: Nat. Commun. doi: 10.1038/ncomms4541 contributor: fullname: K Vandoorne – volume: 18 start-page: 507 year: 1971 ident: 20692_CR36 publication-title: IEEE Trans. Circuit Theory doi: 10.1109/TCT.1971.1083337 contributor: fullname: L Chua – volume: 39 start-page: 1137 year: 2017 ident: 20692_CR1 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2016.2577031 contributor: fullname: S Ren – ident: 20692_CR39 doi: 10.1109/IEDM.2017.8268505 – volume: 108 start-page: 244101 year: 2012 ident: 20692_CR18 publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.108.244101 contributor: fullname: R Martinenghi – ident: 20692_CR24 doi: 10.1145/2765491.2765531 – volume: 2 start-page: 290 year: 2019 ident: 20692_CR29 publication-title: Nat. Electron. doi: 10.1038/s41928-019-0270-x contributor: fullname: F Cai – ident: 20692_CR35 doi: 10.1038/s41565-020-0722-5 – ident: 20692_CR5 doi: 10.1371/journal.pone.0155781 – volume: 1 start-page: 1900084 year: 2019 ident: 20692_CR23 publication-title: Adv. Intell. Syst. doi: 10.1002/aisy.201900084 contributor: fullname: R Midya – volume: 30 start-page: 1705914 year: 2018 ident: 20692_CR27 publication-title: Adv. Mater. doi: 10.1002/adma.201705914 contributor: fullname: M Hu – volume: 79 start-page: 2554 year: 1982 ident: 20692_CR7 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.79.8.2554 contributor: fullname: JJ Hopfield – volume: 304 start-page: 78 year: 2004 ident: 20692_CR12 publication-title: Science doi: 10.1126/science.1091277 contributor: fullname: H Jaeger – volume: 6 start-page: 4462 year: 2018 ident: 20692_CR17 publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2794584 contributor: fullname: R Nakane – volume: 2 year: 2011 ident: 20692_CR34 publication-title: Nat. Commun. doi: 10.1038/ncomms1476 contributor: fullname: L Appeltant – volume: 9 start-page: 1735 year: 1997 ident: 20692_CR8 publication-title: Neural Comput. doi: 10.1162/neco.1997.9.8.1735 contributor: fullname: S Hochreiter – volume: 8 year: 2017 ident: 20692_CR21 publication-title: Nat. Commun. doi: 10.1038/s41467-017-02337-y contributor: fullname: C Du – volume: 3 start-page: 127 year: 2009 ident: 20692_CR42 publication-title: Comput. Sci. Rev. doi: 10.1016/j.cosrev.2009.03.005 contributor: fullname: M Lukosevicius – ident: 20692_CR3 doi: 10.1109/ICASSP.2013.6639345 – ident: 20692_CR10 – ident: 20692_CR11 doi: 10.1109/IJCNN.2006.246804 – volume: 521 start-page: 436 year: 2015 ident: 20692_CR6 publication-title: Nature doi: 10.1038/nature14539 contributor: fullname: Y LeCun – ident: 20692_CR41 doi: 10.1109/ICASSP.1982.1171644 – volume: 16 start-page: 101 year: 2017 ident: 20692_CR31 publication-title: Nat. Mater. doi: 10.1038/nmat4756 contributor: fullname: Z Wang – ident: 20692_CR33 doi: 10.1109/NanoArch.2013.6623028 – volume: 2 start-page: 480 year: 2019 ident: 20692_CR22 publication-title: Nat. Electron. doi: 10.1038/s41928-019-0313-3 contributor: fullname: J Moon – ident: 20692_CR43 |
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| Snippet | Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks,... Abstract Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural... Designing efficient neuromorphic systems for complex temporal tasks remains a challenge. Zhong et al. develop a parallel memristor-based reservoir computing... |
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| SubjectTerms | 639/925/927/1007 639/925/929/115 Computing time Efficiency Errors Hardware Humanities and Social Sciences Mean square errors Memristors multidisciplinary Neural networks Neurons Parameters Predictions Recognition Recurrent neural networks Science Science (multidisciplinary) Signal processing Task complexity Time series |
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| Title | Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing |
| URI | https://link.springer.com/article/10.1038/s41467-020-20692-1 https://www.ncbi.nlm.nih.gov/pubmed/33462233 https://www.proquest.com/docview/2478662032 https://search.proquest.com/docview/2479040659 https://pubmed.ncbi.nlm.nih.gov/PMC7814066 https://doaj.org/article/581e839a8b204dbd986773af5e0fb4bc |
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