524 related articles for article (PubMed ID: 24884237)
1. 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]
2. A low energy oxide-based electronic synaptic device for neuromorphic visual systems with tolerance to device variation.
Yu S; Gao B; Fang Z; Yu H; Kang J; Wong HS
Adv Mater; 2013 Mar; 25(12):1774-9. PubMed ID: 23355110
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Ultra-low power Hf
Chen L; Wang TY; Dai YW; Cha MY; Zhu H; Sun QQ; Ding SJ; Zhou P; Chua L; Zhang DW
Nanoscale; 2018 Aug; 10(33):15826-15833. PubMed ID: 30105324
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Mimicking Biological Synaptic Functionality with an Indium Phosphide Synaptic Device on Silicon for Scalable Neuromorphic Computing.
Sarkar D; Tao J; Wang W; Lin Q; Yeung M; Ren C; Kapadia R
ACS Nano; 2018 Feb; 12(2):1656-1663. PubMed ID: 29328623
[TBL] [Abstract][Full Text] [Related]
7. Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device.
Seo K; Kim I; Jung S; Jo M; Park S; Park J; Shin J; Biju KP; Kong J; Lee K; Lee B; Hwang H
Nanotechnology; 2011 Jun; 22(25):254023. PubMed ID: 21572200
[TBL] [Abstract][Full Text] [Related]
8. RRAM-based synapse devices for neuromorphic systems.
Moon K; Lim S; Park J; Sung C; Oh S; Woo J; Lee J; Hwang H
Faraday Discuss; 2019 Feb; 213(0):421-451. PubMed ID: 30426118
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Memristors Based on 2D Materials as an Artificial Synapse for Neuromorphic Electronics.
Huh W; Lee D; Lee CH
Adv Mater; 2020 Dec; 32(51):e2002092. PubMed ID: 32985042
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Nitrogen-Induced Enhancement of Synaptic Weight Reliability in Titanium Oxide-Based Resistive Artificial Synapse and Demonstration of the Reliability Effect on the Neuromorphic System.
Park J; Park E; Kim S; Yu HY
ACS Appl Mater Interfaces; 2019 Sep; 11(35):32178-32185. PubMed ID: 31392881
[TBL] [Abstract][Full Text] [Related]
14. Organic Synapses for Neuromorphic Electronics: From Brain-Inspired Computing to Sensorimotor Nervetronics.
Lee Y; Lee TW
Acc Chem Res; 2019 Apr; 52(4):964-974. PubMed ID: 30896916
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Bipolar Analog Memristors as Artificial Synapses for Neuromorphic Computing.
Wang R; Shi T; Zhang X; Wang W; Wei J; Lu J; Zhao X; Wu Z; Cao R; Long S; Liu Q; Liu M
Materials (Basel); 2018 Oct; 11(11):. PubMed ID: 30373122
[TBL] [Abstract][Full Text] [Related]
17. Analog neuromorphic module based on carbon nanotube synapses.
Shen AM; Chen CL; Kim K; Cho B; Tudor A; Chen Y
ACS Nano; 2013 Jul; 7(7):6117-22. PubMed ID: 23806075
[TBL] [Abstract][Full Text] [Related]
18. Synaptic plasticity and memory functions achieved in a WO3-x-based nanoionics device by using the principle of atomic switch operation.
Yang R; Terabe K; Yao Y; Tsuruoka T; Hasegawa T; Gimzewski JK; Aono M
Nanotechnology; 2013 Sep; 24(38):384003. PubMed ID: 23999098
[TBL] [Abstract][Full Text] [Related]
19. Filamentary switching: synaptic plasticity through device volatility.
La Barbera S; Vuillaume D; Alibart F
ACS Nano; 2015 Jan; 9(1):941-9. PubMed ID: 25581249
[TBL] [Abstract][Full Text] [Related]
20. Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability.
Wu C; Kim TW; Choi HY; Strukov DB; Yang JJ
Nat Commun; 2017 Sep; 8(1):752. PubMed ID: 28963546
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
