477 related articles for article (PubMed ID: 35666073)
1. 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]
2. 3-bit multilevel operation with accurate programming scheme in TiO
Kim TH; Lee J; Kim S; Park J; Park BG; Kim H
Nanotechnology; 2021 Apr; 32(29):. PubMed ID: 33752189
[TBL] [Abstract][Full Text] [Related]
3. Thousands of conductance levels in memristors integrated on CMOS.
Rao M; Tang H; Wu J; Song W; Zhang M; Yin W; Zhuo Y; Kiani F; Chen B; Jiang X; Liu H; Chen HY; Midya R; Ye F; Jiang H; Wang Z; Wu M; Hu M; Wang H; Xia Q; Ge N; Li J; Yang JJ
Nature; 2023 Mar; 615(7954):823-829. PubMed ID: 36991190
[TBL] [Abstract][Full Text] [Related]
4. Implementation of Convolutional Neural Networks in Memristor Crossbar Arrays with Binary Activation and Weight Quantization.
Park J; Kim S; Song MS; Youn S; Kim K; Kim TH; Kim H
ACS Appl Mater Interfaces; 2024 Jan; 16(1):1054-1065. PubMed ID: 38163259
[TBL] [Abstract][Full Text] [Related]
5. Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks.
Zhang X; Lu J; Wang Z; Wang R; Wei J; Shi T; Dou C; Wu Z; Zhu J; Shang D; Xing G; Chan M; Liu Q; Liu M
Sci Bull (Beijing); 2021 Aug; 66(16):1624-1633. PubMed ID: 36654296
[TBL] [Abstract][Full Text] [Related]
6. Analysis of the Memristor-Based Crossbar Synapse for Neuromorphic Systems.
Kim B; Jo S; Sun W; Shin H
J Nanosci Nanotechnol; 2019 Oct; 19(10):6703-6709. PubMed ID: 31027014
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Memristor-based LSTM network with in situ training and its applications.
Liu X; Zeng Z; Wunsch Ii DC
Neural Netw; 2020 Nov; 131():300-311. PubMed ID: 32841836
[TBL] [Abstract][Full Text] [Related]
10. Flexible, Transparent, and Wafer-Scale Artificial Synapse Array Based on TiO
Huang J; Yang S; Tang X; Yang L; Chen W; Chen Z; Li X; Zeng Z; Tang Z; Gui X
Adv Mater; 2023 Aug; 35(33):e2303737. PubMed ID: 37339620
[TBL] [Abstract][Full Text] [Related]
11. Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing.
Park SO; Jeong H; Park J; Bae J; Choi S
Nat Commun; 2022 Jun; 13(1):2888. PubMed ID: 35660724
[TBL] [Abstract][Full Text] [Related]
12. Hardware Demonstration of SRDP Neuromorphic Computing with Online Unsupervised Learning Based on Memristor Synapses.
Li R; Huang P; Feng Y; Zhou Z; Zhang Y; Ding X; Liu L; Kang J
Micromachines (Basel); 2022 Mar; 13(3):. PubMed ID: 35334725
[TBL] [Abstract][Full Text] [Related]
13. Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates.
Yan Z; Chen J; Hu R; Huang T; Chen Y; Wen S
Neural Netw; 2020 Aug; 128():142-149. PubMed ID: 32446191
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Reliable Memristor Crossbar Array Based on 2D Layered Nickel Phosphorus Trisulfide for Energy-Efficient Neuromorphic Hardware.
Weng Z; Zheng H; Li L; Lei W; Jiang H; Ang KW; Zhao Z
Small; 2024 Feb; 20(5):e2304518. PubMed ID: 37752744
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Memristor Neural Network Training with Clock Synchronous Neuromorphic System.
Jo S; Sun W; Kim B; Kim S; Park J; Shin H
Micromachines (Basel); 2019 Jun; 10(6):. PubMed ID: 31181763
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]