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 *

191 related articles for article (PubMed ID: 21388784)

  • 41. The BioMotionBot: a robotic device for applications in human motor learning and rehabilitation.
    Bartenbach V; Sander C; Pöschl M; Wilging K; Nelius T; Doll F; Burger W; Stockinger C; Focke A; Stein T
    J Neurosci Methods; 2013 Mar; 213(2):282-97. PubMed ID: 23276545
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Robotics and neuroscience: a rhythmic interaction.
    Ronsse R; Lefèvre P; Sepulchre R
    Neural Netw; 2008 May; 21(4):577-83. PubMed ID: 18490135
    [TBL] [Abstract][Full Text] [Related]  

  • 43. The efficacy of demonstrations in teaching children an unfamiliar movement skill: the effects of object-orientated actions and point-light demonstrations.
    Hayes SJ; Hodges NJ; Scott MA; Horn RR; Williams AM
    J Sports Sci; 2007 Mar; 25(5):559-75. PubMed ID: 17365542
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Computation of inverse functions in a model of cerebellar and reflex pathways allows to control a mobile mechanical segment.
    Ebadzadeh M; Tondu B; Darlot C
    Neuroscience; 2005; 133(1):29-49. PubMed ID: 15893629
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Training of deep neural networks for the generation of dynamic movement primitives.
    Pahič R; Ridge B; Gams A; Morimoto J; Ude A
    Neural Netw; 2020 Jul; 127():121-131. PubMed ID: 32339807
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A Task-Learning Strategy for Robotic Assembly Tasks from Human Demonstrations.
    Ding G; Liu Y; Zang X; Zhang X; Liu G; Zhao J
    Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 32992888
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Elements for a general memory structure: properties of recurrent neural networks used to form situation models.
    Makarov VA; Song Y; Velarde MG; Hübner D; Cruse H
    Biol Cybern; 2008 May; 98(5):371-95. PubMed ID: 18350312
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Dynamics of learning near singularities in layered networks.
    Wei H; Zhang J; Cousseau F; Ozeki T; Amari S
    Neural Comput; 2008 Mar; 20(3):813-43. PubMed ID: 18045020
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting.
    Ponulak F; Kasiński A
    Neural Comput; 2010 Feb; 22(2):467-510. PubMed ID: 19842989
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Self-organizing continuous attractor networks and motor function.
    Stringer SM; Rolls ET; Trappenberg TP; de Araujo IE
    Neural Netw; 2003 Mar; 16(2):161-82. PubMed ID: 12628605
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation.
    Fung WK; Liu YH
    Neural Netw; 2003 Dec; 16(10):1403-20. PubMed ID: 14622873
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Compensation of hand movement for patients by assistant force: relationship between human hand movement and robot arm motion.
    Bai O; Nakamura M; Shibasaki H
    IEEE Trans Neural Syst Rehabil Eng; 2001 Sep; 9(3):302-7. PubMed ID: 11561667
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A dynamic model for action understanding and goal-directed imitation.
    Erlhagen W; Mukovskiy A; Bicho E
    Brain Res; 2006 Apr; 1083(1):174-88. PubMed ID: 16616516
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Perception-action map learning in controlled multiscroll systems applied to robot navigation.
    Arena P; De Fiore S; Fortuna L; Patané L
    Chaos; 2008 Dec; 18(4):043119. PubMed ID: 19123629
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A novel neural dynamical approach to convex quadratic program and its efficient applications.
    Xia Y; Sun C
    Neural Netw; 2009 Dec; 22(10):1463-70. PubMed ID: 19410427
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Robot-assisted adaptive training: custom force fields for teaching movement patterns.
    Patton JL; Mussa-Ivaldi FA
    IEEE Trans Biomed Eng; 2004 Apr; 51(4):636-46. PubMed ID: 15072218
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Cellular Nonlinear Networks for the emergence of perceptual states: application to robot navigation control.
    Arena P; De Fiore S; Patané L
    Neural Netw; 2009; 22(5-6):801-11. PubMed ID: 19596552
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Learning movement sequences with a delayed reward signal in a hierarchical model of motor function.
    Stringer SM; Rolls ET; Taylor P
    Neural Netw; 2007 Mar; 20(2):172-81. PubMed ID: 16698235
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments.
    Oubbati M; Kord B; Koprinkova-Hristova P; Palm G
    J Neural Eng; 2014 Apr; 11(2):026019. PubMed ID: 24658453
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Learning to generate articulated behavior through the bottom-up and the top-down interaction processes.
    Tani J
    Neural Netw; 2003 Jan; 16(1):11-23. PubMed ID: 12576102
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.