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PUBMED FOR HANDHELDS

Journal Abstract Search


251 related items for PubMed ID: 16618536

  • 1. Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model.
    Ito M, Noda K, Hoshino Y, Tani J.
    Neural Netw; 2006 Apr; 19(3):323-37. PubMed ID: 16618536
    [Abstract] [Full Text] [Related]

  • 2. Codevelopmental learning between human and humanoid robot using a dynamic neural-network model.
    Tani J, Nishimoto R, Namikawa J, Ito M.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):43-59. PubMed ID: 18270081
    [Abstract] [Full Text] [Related]

  • 3. Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB.
    Tani J, Ito M, Sugita Y.
    Neural Netw; 2004 Feb; 17(8-9):1273-89. PubMed ID: 15555866
    [Abstract] [Full Text] [Related]

  • 4. Application of neural network to humanoid robots-development of co-associative memory model.
    Itoh K, Miwa H, Takanobu H, Takanishi A.
    Neural Netw; 2005 Feb; 18(5-6):666-73. PubMed ID: 16109473
    [Abstract] [Full Text] [Related]

  • 5. Dual adaptive dynamic control of mobile robots using neural networks.
    Bugeja MK, Fabri SG, Camilleri L.
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):129-41. PubMed ID: 19150763
    [Abstract] [Full Text] [Related]

  • 6. Adaptive fuzzy neural network control design via a T-S fuzzy model for a robot manipulator including actuator dynamics.
    Wai RJ, Yang ZW.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1326-46. PubMed ID: 18784015
    [Abstract] [Full Text] [Related]

  • 7. The eMOSAIC model for humanoid robot control.
    Sugimoto N, Morimoto J, Hyon SH, Kawato M.
    Neural Netw; 2012 May; 29-30():8-19. PubMed ID: 22366503
    [Abstract] [Full Text] [Related]

  • 8. Lee-Associator-a chaotic auto-associative network for progressive memory recalling.
    Lee RS.
    Neural Netw; 2006 Jun; 19(5):644-66. PubMed ID: 16352418
    [Abstract] [Full Text] [Related]

  • 9. The control system for the Honda humanoid robot.
    Takenaka T.
    Age Ageing; 2006 Sep; 35 Suppl 2():ii24-ii26. PubMed ID: 16926199
    [Abstract] [Full Text] [Related]

  • 10. Sensorimotor coordination in a "baby" robot: learning about objects through grasping.
    Natale L, Orabona F, Metta G, Sandini G.
    Prog Brain Res; 2007 Sep; 164():403-24. PubMed ID: 17920444
    [Abstract] [Full Text] [Related]

  • 11. A solution for two-dimensional mazes with use of chaotic dynamics in a recurrent neural network model.
    Suemitsu Y, Nara S.
    Neural Comput; 2004 Sep; 16(9):1943-57. PubMed ID: 15265329
    [Abstract] [Full Text] [Related]

  • 12. Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method.
    Bhaya A, Kaszkurewicz E.
    Neural Netw; 2004 Jan; 17(1):65-71. PubMed ID: 14690708
    [Abstract] [Full Text] [Related]

  • 13. A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance.
    Namikawa J, Tani J.
    Neural Netw; 2008 Dec; 21(10):1466-75. PubMed ID: 18938059
    [Abstract] [Full Text] [Related]

  • 14. 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
    [Abstract] [Full Text] [Related]

  • 15. Application of chaotic dynamics in a recurrent neural network to control: hardware implementation into a novel autonomous roving robot.
    Li Y, Kurata S, Morita S, Shimizu S, Munetaka D, Nara S.
    Biol Cybern; 2008 Sep; 99(3):185-96. PubMed ID: 18781321
    [Abstract] [Full Text] [Related]

  • 16. Flexible control of mutual inhibition: a neural model of two-interval discrimination.
    Machens CK, Romo R, Brody CD.
    Science; 2005 Feb 18; 307(5712):1121-4. PubMed ID: 15718474
    [Abstract] [Full Text] [Related]

  • 17. Study on a miniature robotic system for active monitoring in the human respiratory tract.
    Zan P, Yan G, Huang B.
    J Med Eng Technol; 2009 Feb 18; 33(1):25-32. PubMed ID: 19116851
    [Abstract] [Full Text] [Related]

  • 18. A via-point time optimization algorithm for complex sequential trajectory formation.
    Wada Y, Kawato M.
    Neural Netw; 2004 Apr 18; 17(3):353-64. PubMed ID: 15037353
    [Abstract] [Full Text] [Related]

  • 19. A reflexive neural network for dynamic biped walking control.
    Geng T, Porr B, Wörgötter F.
    Neural Comput; 2006 May 18; 18(5):1156-96. PubMed ID: 16595061
    [Abstract] [Full Text] [Related]

  • 20. A robust method for distinguishing between learned and spurious attractors.
    Robins AV, McCallum SJ.
    Neural Netw; 2004 Apr 18; 17(3):313-26. PubMed ID: 15037350
    [Abstract] [Full Text] [Related]


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