Abstract

In this essay, we explain time estimation on the basis of principles of self-organization. Timing behavior can be seen as an outcome of the coupling and coordination across physiological events, overt behavior, and task demands. Such coupling reveals itself in scaling relations known as fractal patterns. The self-organization hypothesis posits a coherent relation between frequency and amplitude of change, as a single coordinated unity, that possess fractal features. Empirical data lend support of this hypothesis, initiating a discussion on how fractal properties of time estimation can be altered by the interplay of voluntary and involuntary control of behavior. © 2011 Springer-Verlag.