This paper discusses an analytical model of gait dynamics for providing meaning and insight into the neural control of locomotion. The multi-level neural control system produces a stable gait and a highly consistent walking pattern when the neuro-mechanical system is functioning properly. The motor control involves a series of transformations of information, hence the control problem revolves around the specific transfer functions that describe each transformation. The author has developed a methodology based on state estimators to recognize coordinated human locomotion to optimize the assessment, evaluation and effective treatment needed to produce functional recovery after neurological insult.