This study explores perception-action heuristics from a fundamental theoretical perspective to describe the comprehensive frameworks of movement as a process within a system dynamic. We address issues related to the identification of dynamics by using a nonrepresentational perspective, namely, functional nonlinearity. Experimental-based tools and calculation procedures for perception (dynamic touch) and action (inter-limb synchrony) revealed a basic pattern of response. The applied models and analyses strongly reflect the invariant principles of a collective structure, which could be the key to understanding complex behavioral processes with simple underlying properties. Our results provide an empirical perspective on dynamic systems and may potentially lead to a set of interconnected elements whose interactions lead to various syntheses.