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 *

111 related articles for article (PubMed ID: 37260344)

  • 1. Tuning Bienenstock-Cooper-Munro learning rules in a two-terminal memristor for neuromorphic computing.
    Li Z; Liu P; Yang G; Jia C; Zhang W
    Phys Chem Chem Phys; 2023 Jun; 25(23):15920-15928. PubMed ID: 37260344
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bienenstock-Cooper-Munro Learning Rule Realized in Polysaccharide-Gated Synaptic Transistors with Tunable Threshold.
    Guo J; Liu Y; Li Y; Li F; Huang F
    ACS Appl Mater Interfaces; 2020 Nov; 12(44):50061-50067. PubMed ID: 33105079
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial synapse based on 1,4-diphenylbutadiyne with femtojoule energy consumption.
    Liu J; Li Z; Jia C; Zhang W
    Phys Chem Chem Phys; 2023 Feb; 25(7):5453-5458. PubMed ID: 36745478
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
    Wang X; Jin Y; Du W; Wang J
    IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):1572-1583. PubMed ID: 35763483
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Synaptic and Gradual Conductance Switching Behaviors in CeO
    Li H; Geng S; Liu T; Cao M; Su J
    ACS Appl Mater Interfaces; 2023 Feb; 15(4):5456-5465. PubMed ID: 36662834
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.
    Rachmuth G; Shouval HZ; Bear MF; Poon CS
    Proc Natl Acad Sci U S A; 2011 Dec; 108(49):E1266-74. PubMed ID: 22089232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules.
    Florini D; Gandolfi D; Mapelli J; Benatti L; Pavan P; Puglisi FM
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):5117-5129. PubMed ID: 36099218
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity.
    Benuskova L; Abraham WC
    J Comput Neurosci; 2007 Apr; 22(2):129-33. PubMed ID: 17053995
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Threshold-Tunable, Spike-Rate-Dependent Plasticity Originating from Interfacial Proton Gating for Pattern Learning and Memory.
    Ren ZY; Zhu LQ; Guo YB; Long TY; Yu F; Xiao H; Lu HL
    ACS Appl Mater Interfaces; 2020 Feb; 12(6):7833-7839. PubMed ID: 31961648
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
    Gjorgjieva J; Clopath C; Audet J; Pfister JP
    Proc Natl Acad Sci U S A; 2011 Nov; 108(48):19383-8. PubMed ID: 22080608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Emergent Dynamical Properties of the BCM Learning Rule.
    Udeigwe LC; Munro PW; Ermentrout GB
    J Math Neurosci; 2017 Dec; 7(1):2. PubMed ID: 28220467
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo.
    Jedlicka P; Benuskova L; Abraham WC
    PLoS Comput Biol; 2015 Nov; 11(11):e1004588. PubMed ID: 26544038
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Controllable digital and analog resistive switching behavior of 2D layered WSe
    Cheng S; Zhong L; Yin J; Duan H; Xie Q; Luo W; Jie W
    Nanoscale; 2023 Mar; 15(10):4801-4808. PubMed ID: 36779310
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Weight dependence in BCM leads to adjustable synaptic competition.
    Albesa-González A; Froc M; Williamson O; Rossum MCWV
    J Comput Neurosci; 2022 Nov; 50(4):431-444. PubMed ID: 35764852
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission.
    Toyoizumi T; Pfister JP; Aihara K; Gerstner W
    Proc Natl Acad Sci U S A; 2005 Apr; 102(14):5239-44. PubMed ID: 15795376
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Receptive Field Formation in Natural Scene Environments. Comparison of Single-Cell Learning Rules.
    Blais BS; Intrator N; Shouval HZ; Cooper LN
    Neural Comput; 1998 Sep; 10(7):1797-1813. PubMed ID: 9744898
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.