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 *

162 related articles for article (PubMed ID: 30361729)

  • 1. Computing of temporal information in spiking neural networks with ReRAM synapses.
    Wang W; Pedretti G; Milo V; Carboni R; Calderoni A; Ramaswamy N; Spinelli AS; Ielmini D
    Faraday Discuss; 2019 Feb; 213(0):453-469. PubMed ID: 30361729
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses.
    Wang W; Pedretti G; Milo V; Carboni R; Calderoni A; Ramaswamy N; Spinelli AS; Ielmini D
    Sci Adv; 2018 Sep; 4(9):eaat4752. PubMed ID: 30214936
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.
    Nandakumar SR; Boybat I; Le Gallo M; Eleftheriou E; Sebastian A; Rajendran B
    Sci Rep; 2020 May; 10(1):8080. PubMed ID: 32415108
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.
    Lobov SA; Chernyshov AV; Krilova NP; Shamshin MO; Kazantsev VB
    Sensors (Basel); 2020 Jan; 20(2):. PubMed ID: 31963143
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification.
    Xiang S; Ren Z; Song Z; Zhang Y; Guo X; Han G; Hao Y
    IEEE Trans Neural Netw Learn Syst; 2021 Jun; 32(6):2494-2505. PubMed ID: 32673197
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.
    Kasabov N; Dhoble K; Nuntalid N; Indiveri G
    Neural Netw; 2013 May; 41():188-201. PubMed ID: 23340243
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.
    Nere A; Olcese U; Balduzzi D; Tononi G
    PLoS One; 2012; 7(5):e36958. PubMed ID: 22615855
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting.
    Werner T; Vianello E; Bichler O; Garbin D; Cattaert D; Yvert B; De Salvo B; Perniola L
    Front Neurosci; 2016; 10():474. PubMed ID: 27857680
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training.
    Liu F; Zhao W; Chen Y; Wang Z; Yang T; Jiang L
    Front Neurosci; 2021; 15():756876. PubMed ID: 34803591
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rethinking the performance comparison between SNNS and ANNS.
    Deng L; Wu Y; Hu X; Liang L; Ding Y; Li G; Zhao G; Li P; Xie Y
    Neural Netw; 2020 Jan; 121():294-307. PubMed ID: 31586857
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Constructing Precisely Computing Networks with Biophysical Spiking Neurons.
    Schwemmer MA; Fairhall AL; Denéve S; Shea-Brown ET
    J Neurosci; 2015 Jul; 35(28):10112-34. PubMed ID: 26180189
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule.
    Hao Y; Huang X; Dong M; Xu B
    Neural Netw; 2020 Jan; 121():387-395. PubMed ID: 31593843
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule.
    Beyeler M; Dutt ND; Krichmar JL
    Neural Netw; 2013 Dec; 48():109-24. PubMed ID: 23994510
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns.
    She X; Dash S; Kim D; Mukhopadhyay S
    Front Neurosci; 2020; 14():615756. PubMed ID: 33519366
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.
    Shen J; Zhao Y; Liu JK; Wang Y
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):5841-5855. PubMed ID: 34890341
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Spike-Timing Dependent Plasticity in Unipolar Silicon Oxide RRAM Devices.
    Zarudnyi K; Mehonic A; Montesi L; Buckwell M; Hudziak S; Kenyon AJ
    Front Neurosci; 2018; 12():57. PubMed ID: 29472837
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatiotemporal learning in analog neural networks using spike-timing-dependent synaptic plasticity.
    Yoshioka M; Scarpetta S; Marinaro M
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 May; 75(5 Pt 1):051917. PubMed ID: 17677108
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Supervised Learning in All FeFET-Based Spiking Neural Network: Opportunities and Challenges.
    Dutta S; Schafer C; Gomez J; Ni K; Joshi S; Datta S
    Front Neurosci; 2020; 14():634. PubMed ID: 32670012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.