BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 37585615)

  • 21. Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units.
    Hernández-Tello J; Martínez-Del-Amor MÁ; Orellana-Martín D; Cabarle FGC
    Int J Neural Syst; 2024 Jul; 34(7):2450038. PubMed ID: 38755115
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator.
    Wei J; Wang Z; Li Y; Lu J; Jiang H; An J; Li Y; Gao L; Zhang X; Shi T; Liu Q
    Front Neurosci; 2021; 15():806325. PubMed ID: 35126046
    [TBL] [Abstract][Full Text] [Related]  

  • 24. GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model.
    Knight JC; Nowotny T
    Front Neurosci; 2018; 12():941. PubMed ID: 30618570
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Exploiting noise as a resource for computation and learning in spiking neural networks.
    Ma G; Yan R; Tang H
    Patterns (N Y); 2023 Oct; 4(10):100831. PubMed ID: 37876899
    [TBL] [Abstract][Full Text] [Related]  

  • 26. [A review of brain-like spiking neural network and its neuromorphic chip research].
    Zhang H; Xu G; Guo J; Guo L
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Oct; 38(5):986-994. PubMed ID: 34713667
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Locally connected spiking neural networks for unsupervised feature learning.
    Saunders DJ; Patel D; Hazan H; Siegelmann HT; Kozma R
    Neural Netw; 2019 Nov; 119():332-340. PubMed ID: 31499357
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Bio-inspired spiking neural network for nonlinear systems control.
    Pérez J; Cabrera JA; Castillo JJ; Velasco JM
    Neural Netw; 2018 Aug; 104():15-25. PubMed ID: 29702424
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identifying the pulsed neuron networks' structures by a nonlinear Granger causality method.
    Zhu MJ; Dong CY; Chen XY; Ren JW; Zhao XY
    BMC Neurosci; 2020 Feb; 21(1):7. PubMed ID: 32050908
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.
    Alevi D; Stimberg M; Sprekeler H; Obermayer K; Augustin M
    Front Neuroinform; 2022; 16():883700. PubMed ID: 36387586
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.
    Yao M; Zhang H; Zhao G; Zhang X; Wang D; Cao G; Li G
    Neural Netw; 2023 Sep; 166():410-423. PubMed ID: 37549609
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks.
    Pagliarini SN; Bhuin S; Isgenc MM; Biswas AK; Pileggi L
    IEEE Trans Neural Netw Learn Syst; 2020 Apr; 31(4):1113-1123. PubMed ID: 31226090
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A spiking neural network with continuous local learning for robust online brain machine interface.
    Taeckens EA; Shah S
    J Neural Eng; 2024 Jan; 20(6):. PubMed ID: 38173230
    [No Abstract]   [Full Text] [Related]  

  • 34. EvtSNN: Event-driven SNN simulator optimized by population and pre-filtering.
    Mo L; Tao Z
    Front Neurosci; 2022; 16():944262. PubMed ID: 36248639
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification.
    Liu Y; Tian M; Liu R; Cao K; Wang R; Wang Y; Zhao W; Zhou Y
    Comput Intell Neurosci; 2022; 2022():1633946. PubMed ID: 36313052
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics.
    Steffen L; Koch R; Ulbrich S; Nitzsche S; Roennau A; Dillmann R
    Front Neurosci; 2021; 15():667011. PubMed ID: 34267622
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron.
    Mozafari M; Ganjtabesh M; Nowzari-Dalini A; Masquelier T
    Front Neurosci; 2019; 13():625. PubMed ID: 31354403
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A novel CPU/GPU simulation environment for large-scale biologically realistic neural modeling.
    Hoang RV; Tanna D; Jayet Bray LC; Dascalu SM; Harris FC
    Front Neuroinform; 2013; 7():19. PubMed ID: 24106475
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.