463 related articles for article (PubMed ID: 25291739)
1. Memristor crossbar-based neuromorphic computing system: a case study.
Hu M; Li H; Chen Y; Wu Q; Rose GS; Linderman RW
IEEE Trans Neural Netw Learn Syst; 2014 Oct; 25(10):1864-78. PubMed ID: 25291739
[TBL] [Abstract][Full Text] [Related]
2. Integration of nanoscale memristor synapses in neuromorphic computing architectures.
Indiveri G; Linares-Barranco B; Legenstein R; Deligeorgis G; Prodromakis T
Nanotechnology; 2013 Sep; 24(38):384010. PubMed ID: 23999381
[TBL] [Abstract][Full Text] [Related]
3. Memristor-based cellular nonlinear/neural network: design, analysis, and applications.
Duan S; Hu X; Dong Z; Wang L; Mazumder P
IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1202-13. PubMed ID: 25069124
[TBL] [Abstract][Full Text] [Related]
4. Memristors for Neuromorphic Circuits and Artificial Intelligence Applications.
Miranda E; Suñé J
Materials (Basel); 2020 Feb; 13(4):. PubMed ID: 32093164
[TBL] [Abstract][Full Text] [Related]
5. Ultra-low-energy three-dimensional oxide-based electronic synapses for implementation of robust high-accuracy neuromorphic computation systems.
Gao B; Bi Y; Chen HY; Liu R; Huang P; Chen B; Liu L; Liu X; Yu S; Wong HS; Kang J
ACS Nano; 2014 Jul; 8(7):6998-7004. PubMed ID: 24884237
[TBL] [Abstract][Full Text] [Related]
6. A Learning-Rate Modulable and Reliable TiO
Jang J; Gi S; Yeo I; Choi S; Jang S; Ham S; Lee B; Wang G
Adv Sci (Weinh); 2022 Aug; 9(22):e2201117. PubMed ID: 35666073
[TBL] [Abstract][Full Text] [Related]
7. A Parasitic Resistance-Adapted Programming Scheme for Memristor Crossbar-Based Neuromorphic Computing Systems.
Ngoc Truong S
Materials (Basel); 2019 Dec; 12(24):. PubMed ID: 31817956
[TBL] [Abstract][Full Text] [Related]
8. Emerging Memristive Artificial Synapses and Neurons for Energy-Efficient Neuromorphic Computing.
Choi S; Yang J; Wang G
Adv Mater; 2020 Dec; 32(51):e2004659. PubMed ID: 33006204
[TBL] [Abstract][Full Text] [Related]
9. Training and operation of an integrated neuromorphic network based on metal-oxide memristors.
Prezioso M; Merrikh-Bayat F; Hoskins BD; Adam GC; Likharev KK; Strukov DB
Nature; 2015 May; 521(7550):61-4. PubMed ID: 25951284
[TBL] [Abstract][Full Text] [Related]
10. A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications.
Kim KH; Gaba S; Wheeler D; Cruz-Albrecht JM; Hussain T; Srinivasa N; Lu W
Nano Lett; 2012 Jan; 12(1):389-95. PubMed ID: 22141918
[TBL] [Abstract][Full Text] [Related]
11. Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence.
Wang J; Zhuge X; Zhuge F
Sci Technol Adv Mater; 2021 May; 22(1):326-344. PubMed ID: 34025215
[TBL] [Abstract][Full Text] [Related]
12. Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network.
Seok H; Son S; Jathar SB; Lee J; Kim T
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991829
[TBL] [Abstract][Full Text] [Related]
13. A Design Methodology for Fault-Tolerant Neuromorphic Computing Using Bayesian Neural Network.
Gao D; Xie X; Wei D
Micromachines (Basel); 2023 Sep; 14(10):. PubMed ID: 37893277
[TBL] [Abstract][Full Text] [Related]
14. Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition.
Truong SN; Ham SJ; Min KS
Nanoscale Res Lett; 2014; 9(1):629. PubMed ID: 25489283
[TBL] [Abstract][Full Text] [Related]
15. Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device.
Park S; Noh J; Choo ML; Sheri AM; Chang M; Kim YB; Kim CJ; Jeon M; Lee BG; Lee BH; Hwang H
Nanotechnology; 2013 Sep; 24(38):384009. PubMed ID: 23999317
[TBL] [Abstract][Full Text] [Related]
16. Fully hardware-implemented memristor convolutional neural network.
Yao P; Wu H; Gao B; Tang J; Zhang Q; Zhang W; Yang JJ; Qian H
Nature; 2020 Jan; 577(7792):641-646. PubMed ID: 31996818
[TBL] [Abstract][Full Text] [Related]
17. Memristor-based programmable logic array (PLA) and analysis as Memristive networks.
Lee KH; Lee SJ; Kim SM; Cho K
J Nanosci Nanotechnol; 2013 May; 13(5):3265-9. PubMed ID: 23858841
[TBL] [Abstract][Full Text] [Related]
18. Linear conductance update improvement of CMOS-compatible second-order memristors for fast and energy-efficient training of a neural network using a memristor crossbar array.
Park SO; Park T; Jeong H; Hong S; Seo S; Kwon Y; Lee J; Choi S
Nanoscale Horiz; 2023 Sep; 8(10):1366-1376. PubMed ID: 37403772
[TBL] [Abstract][Full Text] [Related]
19. Instar and outstar learning with memristive nanodevices.
Snider G
Nanotechnology; 2011 Jan; 22(1):015201. PubMed ID: 21135450
[TBL] [Abstract][Full Text] [Related]
20. Nanoscale memristor device as synapse in neuromorphic systems.
Jo SH; Chang T; Ebong I; Bhadviya BB; Mazumder P; Lu W
Nano Lett; 2010 Apr; 10(4):1297-301. PubMed ID: 20192230
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
