Studies on human finger tapping neural networks by phase transition curves.
The human finger tapping was studied psychologically by the phase transition curves. We assumed that some oscillatory neural network controls the tapping. One of our future works on the human finger tapping is to devise a method to change the magnitude of perturbation continuously in phase resetting experiments of a constant tapping interval with a same kind of task. If this is achieved, we can obtain a phase transition surface (i.e. the new phase as a function of the old phase and the magnitude of perturbation). From the shape of a phase transition surface, the intrinsic properties of the oscillatory network which controls the tapping can be studied (Kawato et al., 1978).
D003213:Conditioning, Psychological; D005385:Fingers / Q000294:innervation / Q000502:physiology*; D006801:Humans; D007858:Learning; D008959:Models, Neurological; D008960:Models, Psychological; D009043:Motor Activity; D009048:Motor Skills; D009068:Movement; D009415:Nerve Net / Q000502:physiology*; D009424:Nervous System Physiological Phenomena; D011930:Reaction Time