339 related articles for article (PubMed ID: 26483629)
1. Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
Mostafa H; Khiat A; Serb A; Mayr CG; Indiveri G; Prodromakis T
Front Neurosci; 2015; 9():357. PubMed ID: 26483629
[TBL] [Abstract][Full Text] [Related]
2. STDP and STDP variations with memristors for spiking neuromorphic learning systems.
Serrano-Gotarredona T; Masquelier T; Prodromakis T; Indiveri G; Linares-Barranco B
Front Neurosci; 2013; 7():2. PubMed ID: 23423540
[TBL] [Abstract][Full Text] [Related]
3. A Hybrid CMOS-Memristor Neuromorphic Synapse.
Azghadi MR; Linares-Barranco B; Abbott D; Leong PH
IEEE Trans Biomed Circuits Syst; 2017 Apr; 11(2):434-445. PubMed ID: 28026782
[TBL] [Abstract][Full Text] [Related]
4. Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors.
Prezioso M; Merrikh Bayat F; Hoskins B; Likharev K; Strukov D
Sci Rep; 2016 Feb; 6():21331. PubMed ID: 26893175
[TBL] [Abstract][Full Text] [Related]
5. A compound memristive synapse model for statistical learning through STDP in spiking neural networks.
Bill J; Legenstein R
Front Neurosci; 2014; 8():412. PubMed ID: 25565943
[TBL] [Abstract][Full Text] [Related]
6. On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex.
Zamarreño-Ramos C; Camuñas-Mesa LA; Pérez-Carrasco JA; Masquelier T; Serrano-Gotarredona T; Linares-Barranco B
Front Neurosci; 2011; 5():26. PubMed ID: 21442012
[TBL] [Abstract][Full Text] [Related]
7. Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning.
Covi E; Brivio S; Serb A; Prodromakis T; Fanciulli M; Spiga S
Front Neurosci; 2016; 10():482. PubMed ID: 27826226
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices.
Wang Z; Zeng T; Ren Y; Lin Y; Xu H; Zhao X; Liu Y; Ielmini D
Nat Commun; 2020 Mar; 11(1):1510. PubMed ID: 32198368
[TBL] [Abstract][Full Text] [Related]
10. A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity.
Ahmadi-Farsani J; Ricci S; Hashemkhani S; Ielmini D; Linares-Barranco B; Serrano-Gotarredona T
Philos Trans A Math Phys Eng Sci; 2022 Jul; 380(2228):20210018. PubMed ID: 35658675
[TBL] [Abstract][Full Text] [Related]
11. A forecast-based STDP rule suitable for neuromorphic implementation.
Davies S; Galluppi F; Rast AD; Furber SB
Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Perceptrons from memristors.
Silva F; Sanz M; Seixas J; Solano E; Omar Y
Neural Netw; 2020 Feb; 122():273-278. PubMed ID: 31731044
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μs.
Du N; Kiani M; Mayr CG; You T; Bürger D; Skorupa I; Schmidt OG; Schmidt H
Front Neurosci; 2015; 9():227. PubMed ID: 26175666
[TBL] [Abstract][Full Text] [Related]
16. A neuromorphic VLSI design for spike timing and rate based synaptic plasticity.
Rahimi Azghadi M; Al-Sarawi S; Abbott D; Iannella N
Neural Netw; 2013 Sep; 45():70-82. PubMed ID: 23566339
[TBL] [Abstract][Full Text] [Related]
17. Dynamical memristive neural networks and associative self-learning architectures using biomimetic devices.
Zivasatienraj B; Doolittle WA
Front Neurosci; 2023; 17():1153183. PubMed ID: 37152603
[TBL] [Abstract][Full Text] [Related]
18. Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations.
Camuñas-Mesa LA; Linares-Barranco B; Serrano-Gotarredona T
Materials (Basel); 2019 Aug; 12(17):. PubMed ID: 31461877
[TBL] [Abstract][Full Text] [Related]
19. An Adaptive STDP Learning Rule for Neuromorphic Systems.
Gautam A; Kohno T
Front Neurosci; 2021; 15():741116. PubMed ID: 34630026
[TBL] [Abstract][Full Text] [Related]
20. A TSTDP memristive synapse based on a comprehensive mathematical model of memory-TFT threshold voltage shift.
Karimi G; Rastegar S
J Theor Biol; 2022 Jul; 544():111119. PubMed ID: 35381226
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
