These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
223 related articles for article (PubMed ID: 27214913)
1. All Spin Artificial Neural Networks Based on Compound Spintronic Synapse and Neuron. Zhang D; Zeng L; Cao K; Wang M; Peng S; Zhang Y; Zhang Y; Klein JO; Wang Y; Zhao W IEEE Trans Biomed Circuits Syst; 2016 Aug; 10(4):828-36. PubMed ID: 27214913 [TBL] [Abstract][Full Text] [Related]
2. Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets. Sengupta A; Shim Y; Roy K IEEE Trans Biomed Circuits Syst; 2016 Dec; 10(6):1152-1160. PubMed ID: 27214912 [TBL] [Abstract][Full Text] [Related]
3. Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning. Srinivasan G; Sengupta A; Roy K Sci Rep; 2016 Jul; 6():29545. PubMed ID: 27405788 [TBL] [Abstract][Full Text] [Related]
4. Realization of Artificial Neurons and Synapses Based on STDP Designed by an MTJ Device. Wang M; Yuan Y; Jiang Y Micromachines (Basel); 2023 Sep; 14(10):. PubMed ID: 37893257 [TBL] [Abstract][Full Text] [Related]
5. Multilayer ferromagnetic spintronic devices for neuromorphic computing applications. Lone AH; Zou X; Mishra KK; Singaravelu V; Sbiaa R; Fariborzi H; Setti G Nanoscale; 2024 Jul; 16(26):12431-12444. PubMed ID: 38904318 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Bimodal alteration of cognitive accuracy for spintronic artificial neural networks. Kumar A; Das D; Lin DJX; Huang L; Yap SLK; Tan HK; Lim RJJ; Tan HR; Toh YT; Lim ST; Fong X; Ho P Nanoscale Horiz; 2024 Aug; 9(9):1522-1531. PubMed ID: 38954430 [TBL] [Abstract][Full Text] [Related]
8. Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems. Vincent AF; Larroque J; Locatelli N; Ben Romdhane N; Bichler O; Gamrat C; Zhao WS; Klein JO; Galdin-Retailleau S; Querlioz D IEEE Trans Biomed Circuits Syst; 2015 Apr; 9(2):166-74. PubMed ID: 25879967 [TBL] [Abstract][Full Text] [Related]
9. 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]
11. Multistate Compound Magnetic Tunnel Junction Synapses for Digital Recognition. Kumar A; Lin DJX; Das D; Huang L; Yap SLK; Tan HR; Tan HK; Lim RJJ; Toh YT; Chen S; Lim ST; Fong X; Ho P ACS Appl Mater Interfaces; 2024 Feb; 16(8):10335-10343. PubMed ID: 38376994 [TBL] [Abstract][Full Text] [Related]
12. Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. Zhang Q; Wu H; Yao P; Zhang W; Gao B; Deng N; Qian H Neural Netw; 2018 Dec; 108():217-223. PubMed ID: 30216871 [TBL] [Abstract][Full Text] [Related]
13. A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks. Pagliarini SN; Bhuin S; Isgenc MM; Biswas AK; Pileggi L IEEE Trans Neural Netw Learn Syst; 2020 Apr; 31(4):1113-1123. PubMed ID: 31226090 [TBL] [Abstract][Full Text] [Related]
14. Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphic computing. Wang D; Tang R; Lin H; Liu L; Xu N; Sun Y; Zhao X; Wang Z; Wang D; Mai Z; Zhou Y; Gao N; Song C; Zhu L; Wu T; Liu M; Xing G Nat Commun; 2023 Feb; 14(1):1068. PubMed ID: 36828856 [TBL] [Abstract][Full Text] [Related]
15. Domain wall magnetic tunnel junction-based artificial synapses and neurons for all-spin neuromorphic hardware. Liu L; Wang D; Wang D; Sun Y; Lin H; Gong X; Zhang Y; Tang R; Mai Z; Hou Z; Yang Y; Li P; Wang L; Luo Q; Li L; Xing G; Liu M Nat Commun; 2024 May; 15(1):4534. PubMed ID: 38806482 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. A Low-Power Spiking Neural Network Chip Based on a Compact LIF Neuron and Binary Exponential Charge Injector Synapse Circuits. Asghar MS; Arslan S; Kim H Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34210045 [TBL] [Abstract][Full Text] [Related]
18. Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing. Zahoor F; Hussin FA; Isyaku UB; Gupta S; Khanday FA; Chattopadhyay A; Abbas H Discov Nano; 2023 Mar; 18(1):36. PubMed ID: 37382679 [TBL] [Abstract][Full Text] [Related]
19. High On/Off Ratio Spintronic Multi-Level Memory Unit for Deep Neural Network. Zhang K; Jia X; Cao K; Wang J; Zhang Y; Lin K; Chen L; Feng X; Zheng Z; Zhang Z; Zhang Y; Zhao W Adv Sci (Weinh); 2022 May; 9(13):e2103357. PubMed ID: 35229495 [TBL] [Abstract][Full Text] [Related]
20. Flexible Artificial Optoelectronic Synapse based on Lead-Free Metal Halide Nanocrystals for Neuromorphic Computing and Color Recognition. Li Y; Wang J; Yang Q; Shen G Adv Sci (Weinh); 2022 Aug; 9(22):e2202123. PubMed ID: 35661449 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]