• DocumentCode
    1982284
  • Title

    A neural control model for bimanual rhythmic movements

  • Author

    Klaiman, Eldud ; Karniel, Amir

  • Author_Institution
    Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
  • fYear
    2004
  • fDate
    6-7 Sept. 2004
  • Firstpage
    60
  • Lastpage
    63
  • Abstract
    Rowing a boat, playing drums, and performing surgery require bimanual coordination. Although bimanual coordination in rhythmic movements has been widely researched, the learning processes of these movements have gone largely unnoticed. A well known fact is that bimanual polyrhythms are difficult to perform. A recent study (Mechsner, F. et al., Nature, vol.414, no.1, p.69-73, 2001) has shown that, presented with altered feedback, subjects are able to perform such otherwise difficult tasks. Following this study, we hypothesize that the brain contains internal representation of the transformation between the perception and execution levels. Our hypothesis predicts gradual improvement in performance and an after effect. We have conducted an experiment in which subjects tapped their index fingers while receiving altered visual feedback and observed the improvement of performance as well as after effects that are fingerprints of the internal representation. We present a neural model which portrays these key phenomena associated with the learning dynamics of bimanual coordination.
  • Keywords
    behavioural sciences; brain models; living systems; medical computing; neural nets; neurophysiology; bimanual coordination; bimanual polyrhythms; bimanual rhythmic movements; learning dynamics; learning processes; neural control model; neural network model; Actuators; Biomedical engineering; Boats; Fingerprint recognition; Fingers; Frequency; Humans; Neurofeedback; Surgery; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2004. Proceedings. 2004 23rd IEEE Convention of
  • Print_ISBN
    0-7803-8427-X
  • Type

    conf

  • DOI
    10.1109/EEEI.2004.1361088
  • Filename
    1361088