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 *

153 related articles for article (PubMed ID: 35495023)

  • 1. A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents.
    Zhao Z; Lu E; Zhao F; Zeng Y; Zhao Y
    Front Neurosci; 2022; 16():753900. PubMed ID: 35495023
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition.
    Zhao Z; Zhao F; Zhao Y; Zeng Y; Sun Y
    Patterns (N Y); 2023 Aug; 4(8):100775. PubMed ID: 37602221
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Brain-Inspired Model of Theory of Mind.
    Zeng Y; Zhao Y; Zhang T; Zhao D; Zhao F; Lu E
    Front Neurorobot; 2020; 14():60. PubMed ID: 32982714
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle.
    Bing Z; Baumann I; Jiang Z; Huang K; Cai C; Knoll A
    Front Neurorobot; 2019; 13():18. PubMed ID: 31130854
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Corrigendum: A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents.
    Zhao Z; Lu E; Zhao F; Zeng Y; Zhao Y
    Front Neurosci; 2022; 16():920292. PubMed ID: 35669492
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity.
    Zhao D; Zeng Y; Zhang T; Shi M; Zhao F
    Front Comput Neurosci; 2020; 14():576841. PubMed ID: 33281591
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP.
    Fang H; Zeng Y; Zhao F
    Front Comput Neurosci; 2021; 15():612041. PubMed ID: 33664661
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Theory of Mind From Observation in Cognitive Models and Humans.
    Nguyen TN; Gonzalez C
    Top Cogn Sci; 2022 Oct; 14(4):665-686. PubMed ID: 34165919
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle.
    Zhao F; Zeng Y; Xu B
    Front Neurorobot; 2018; 12():56. PubMed ID: 30258359
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot.
    Lobov SA; Mikhaylov AN; Shamshin M; Makarov VA; Kazantsev VB
    Front Neurosci; 2020; 14():88. PubMed ID: 32174804
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks.
    Bing Z; Meschede C; Röhrbein F; Huang K; Knoll AC
    Front Neurorobot; 2018; 12():35. PubMed ID: 30034334
    [TBL] [Abstract][Full Text] [Related]  

  • 15. BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.
    Zeng Y; Zhao D; Zhao F; Shen G; Dong Y; Lu E; Zhang Q; Sun Y; Liang Q; Zhao Y; Zhao Z; Fang H; Wang Y; Li Y; Liu X; Du C; Kong Q; Ruan Z; Bi W
    Patterns (N Y); 2023 Aug; 4(8):100789. PubMed ID: 37602224
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Models developed for spiking neural networks.
    Rezghi Shirsavar S; Vahabie AH; A Dehaqani MR
    MethodsX; 2023; 10():102157. PubMed ID: 37077894
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On computational models of theory of mind and the imitative reinforcement learning in spiking neural networks.
    Gorgan Mohammadi A; Ganjtabesh M
    Sci Rep; 2024 Jan; 14(1):1945. PubMed ID: 38253595
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Curiosity-Based Learning Method for Spiking Neural Networks.
    Shi M; Zhang T; Zeng Y
    Front Comput Neurosci; 2020; 14():7. PubMed ID: 32116621
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Differential recruitment of theory of mind brain network across three tasks: An independent component analysis.
    Thye MD; Ammons CJ; Murdaugh DL; Kana RK
    Behav Brain Res; 2018 Jul; 347():385-393. PubMed ID: 29604366
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.