Linear phase correction models for synchronization: parameter identification and estimation of parameters.
Linear phase correction models for synchronized tapping and their stochastic properties are presented. In the most general form they include a central timer, a motor execution, and a phase correction mechanism that acts on the physical or the perceived asynchrony. A central issue of the article is how to identify and estimate the model parameters from the data. Monte Carlo simulations show serious problems of parameter interdependency.
Schulze
Hans-Henning
HH
Philipps-Universitat Marburg, Fachbereich Psychologie, Gutenbergstrasse 18, Marburg, 35037, Germany. schulze@mailer.uni.marburg.de
Vorberg
Dirk
D
D006801:Humans; D016014:Linear Models; D011597:Psychomotor Performance; D013997:Time Factors