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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

295 related articles for article (PubMed ID: 31181763)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Equilibrium Propagation for Memristor-Based Recurrent Neural Networks.
    Zoppo G; Marrone F; Corinto F
    Front Neurosci; 2020; 14():240. PubMed ID: 32265641
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks.
    Guo Y; Wu H; Gao B; Qian H
    Front Neurosci; 2019; 13():812. PubMed ID: 31447634
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning.
    Lee C; Panda P; Srinivasan G; Roy K
    Front Neurosci; 2018; 12():435. PubMed ID: 30123103
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights.
    Emelyanov AV; Nikiruy KE; Serenko AV; Sitnikov AV; Presnyakov MY; Rybka RB; Sboev AG; Rylkov VV; Kashkarov PK; Kovalchuk MV; Demin VA
    Nanotechnology; 2020 Jan; 31(4):045201. PubMed ID: 31578002
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks.
    Brivio S; Ly DRB; Vianello E; Spiga S
    Front Neurosci; 2021; 15():580909. PubMed ID: 33633531
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. K-means Data Clustering with Memristor Networks.
    Jeong Y; Lee J; Moon J; Shin JH; Lu WD
    Nano Lett; 2018 Jul; 18(7):4447-4453. PubMed ID: 29879355
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Paired competing neurons improving STDP supervised local learning in Spiking Neural Networks.
    Goupy G; Tirilly P; Bilasco IM
    Front Neurosci; 2024; 18():1401690. PubMed ID: 39119458
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An unsupervised neuromorphic clustering algorithm.
    Diamond A; Schmuker M; Nowotny T
    Biol Cybern; 2019 Aug; 113(4):423-437. PubMed ID: 30944983
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid CMOS-Memristor synapse circuits for implementing Ca ion-based plasticity model.
    Lim JG; Park SJ; Lee SM; Jeong Y; Kim J; Lee S; Park J; Hwang GW; Lee KS; Park S; Jang HJ; Ju BK; Park JK; Kim I
    Sci Rep; 2024 Aug; 14(1):17915. PubMed ID: 39095461
    [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. 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]  

  • 19. Memristor-based spiking neural network with online reinforcement learning.
    Vlasov D; Minnekhanov A; Rybka R; Davydov Y; Sboev A; Serenko A; Ilyasov A; Demin V
    Neural Netw; 2023 Sep; 166():512-523. PubMed ID: 37579580
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential.
    Garg N; Balafrej I; Stewart TC; Portal JM; Bocquet M; Querlioz D; Drouin D; Rouat J; Beilliard Y; Alibart F
    Front Neurosci; 2022; 16():983950. PubMed ID: 36340782
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.