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 *

243 related articles for article (PubMed ID: 23366831)

  • 1. Brain-Machine Interface control of a robot arm using actor-critic rainforcement learning.
    Pohlmeyer EA; Mahmoudi B; Geng S; Prins N; Sanchez JC
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4108-11. PubMed ID: 23366831
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using reinforcement learning to provide stable brain-machine interface control despite neural input reorganization.
    Pohlmeyer EA; Mahmoudi B; Geng S; Prins NW; Sanchez JC
    PLoS One; 2014; 9(1):e87253. PubMed ID: 24498055
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Feedback for reinforcement learning based brain-machine interfaces using confidence metrics.
    Prins NW; Sanchez JC; Prasad A
    J Neural Eng; 2017 Jun; 14(3):036016. PubMed ID: 28240598
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces.
    Prins NW; Sanchez JC; Prasad A
    Front Neurosci; 2014; 8():111. PubMed ID: 24904257
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Control of Redundant Kinematic Degrees of Freedom in a Closed-Loop Brain-Machine Interface.
    Moorman HG; Gowda S; Carmena JM
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):750-760. PubMed ID: 27455526
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm.
    Ison M; Vujaklija I; Whitsell B; Farina D; Artemiadis P
    IEEE Trans Neural Syst Rehabil Eng; 2016 Apr; 24(4):424-33. PubMed ID: 25838524
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning Based Brain-Machine Interfaces.
    Shen X; Zhang X; Huang Y; Chen S; Yu Z; Wang Y
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2834-2844. PubMed ID: 36219654
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces.
    Zhang X; Wang Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3547-3550. PubMed ID: 31946644
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Training an Actor-Critic Reinforcement Learning Controller for Arm Movement Using Human-Generated Rewards.
    Jagodnik KM; Thomas PS; van den Bogert AJ; Branicky MS; Kirsch RF
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1892-1905. PubMed ID: 28475063
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces.
    Bae J; Sanchez Giraldo LG; Pohlmeyer EA; Sanchez JC; Principe JC
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5402-5. PubMed ID: 24110957
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coadaptive brain-machine interface via reinforcement learning.
    DiGiovanna J; Mahmoudi B; Fortes J; Principe JC; Sanchez JC
    IEEE Trans Biomed Eng; 2009 Jan; 56(1):54-64. PubMed ID: 19224719
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control.
    Zhang X; Wang Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083464
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
    Zhang X; Principe JC; Wang Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():6125-6128. PubMed ID: 30441732
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A symbiotic brain-machine interface through value-based decision making.
    Mahmoudi B; Sanchez JC
    PLoS One; 2011 Mar; 6(3):e14760. PubMed ID: 21423797
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reinforcement learning for a biped robot based on a CPG-actor-critic method.
    Nakamura Y; Mori T; Sato MA; Ishii S
    Neural Netw; 2007 Aug; 20(6):723-35. PubMed ID: 17412559
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Goal-recognition-based adaptive brain-computer interface for navigating immersive robotic systems.
    Abu-Alqumsan M; Ebert F; Peer A
    J Neural Eng; 2017 Jun; 14(3):036024. PubMed ID: 28294109
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface.
    Song Z; Zhang X; Wang Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():690-693. PubMed ID: 36086404
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Kernel temporal differences for neural decoding.
    Bae J; Sanchez Giraldo LG; Pohlmeyer EA; Francis JT; Sanchez JC; Príncipe JC
    Comput Intell Neurosci; 2015; 2015():481375. PubMed ID: 25866504
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Task Learning Over Multi-Day Recording via Internally Rewarded Reinforcement Learning Based Brain Machine Interfaces.
    Shen X; Zhang X; Huang Y; Chen S; Wang Y
    IEEE Trans Neural Syst Rehabil Eng; 2020 Dec; 28(12):3089-3099. PubMed ID: 33232240
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A telepresence mobile robot controlled with a noninvasive brain-computer interface.
    Escolano C; Antelis JM; Minguez J
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):793-804. PubMed ID: 22180512
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.