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
Link To Document