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 *

174 related articles for article (PubMed ID: 28706739)

  • 1. Emulation with Organic Memristive Devices of Impairment of LTP Mechanism in Neurodegenerative Disease Pathology.
    Battistoni S; Erokhin V; Iannotta S
    Neural Plast; 2017; 2017():6090312. PubMed ID: 28706739
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Memristive Hebbian plasticity model: device requirements for the emulation of Hebbian plasticity based on memristive devices.
    Ziegler M; Riggert C; Hansen M; Bartsch T; Kohlstedt H
    IEEE Trans Biomed Circuits Syst; 2015 Apr; 9(2):197-206. PubMed ID: 25879966
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Implementation of Neuro-Memristive Synapse for Long-and Short-Term Bio-Synaptic Plasticity.
    Mannan ZI; Kim H; Chua L
    Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33477650
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Neuronal synapse as a memristor: modeling pair- and triplet-based STDP rule.
    Cai W; Ellinger F; Tetzlaff R
    IEEE Trans Biomed Circuits Syst; 2015 Feb; 9(1):87-95. PubMed ID: 24960611
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Synaptic Plasticity in Memristive Artificial Synapses and Their Robustness Against Noisy Inputs.
    Du N; Zhao X; Chen Z; Choubey B; Di Ventra M; Skorupa I; Bürger D; Schmidt H
    Front Neurosci; 2021; 15():660894. PubMed ID: 34335153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Zeolite-Based Memristive Synapse with Ultralow Sub-10-fJ Energy Consumption for Neuromorphic Computation.
    Zeng T; Zou X; Wang Z; Yu G; Yang Z; Rong H; Zhang C; Xu H; Lin Y; Zhao X; Ma J; Zhu G; Liu Y
    Small; 2021 Apr; 17(13):e2006662. PubMed ID: 33738968
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning.
    Hartmann C; Miner DC; Triesch J
    Front Neural Circuits; 2015; 9():90. PubMed ID: 26793070
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. On the Application of a Diffusive Memristor Compact Model to Neuromorphic Circuits.
    Cisternas Ferri A; Rapoport A; Fierens PI; Patterson GA; Miranda E; Suñé J
    Materials (Basel); 2019 Jul; 12(14):. PubMed ID: 31337071
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modulation of LTP/LTD balance in STDP by an activity-dependent feedback mechanism.
    Kubota S; Rubin J; Kitajima T
    Neural Netw; 2009; 22(5-6):527-35. PubMed ID: 19616407
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Electroforming in Metal-Oxide Memristive Synapses.
    Wang T; Shi Y; Puglisi FM; Chen S; Zhu K; Zuo Y; Li X; Jing X; Han T; Guo B; Bukvišová K; Kachtík L; Kolíbal M; Wen C; Lanza M
    ACS Appl Mater Interfaces; 2020 Mar; 12(10):11806-11814. PubMed ID: 32036650
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cholesterol, synaptic function and Alzheimer's disease.
    Koudinov AR; Koudinova NV
    Pharmacopsychiatry; 2003 Sep; 36 Suppl 2():S107-12. PubMed ID: 14574623
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation.
    Payvand M; Nair MV; Müller LK; Indiveri G
    Faraday Discuss; 2019 Feb; 213(0):487-510. PubMed ID: 30357205
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Neuromorphic computing with multi-memristive synapses.
    Boybat I; Le Gallo M; Nandakumar SR; Moraitis T; Parnell T; Tuma T; Rajendran B; Leblebici Y; Sebastian A; Eleftheriou E
    Nat Commun; 2018 Jun; 9(1):2514. PubMed ID: 29955057
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.