  We present a stochastic model of gait rhythm dynamics, based on transitions
between different ``neural centers'', that reproduces distinctive statistical
properties of normal human walking. By tuning one model parameter, the hopping
range, the model can describe alterations in gait dynamics from childhood to
adulthood --- including a decrease in the correlation and volatility exponents
with maturation. The model also generates time series with multifractal spectra
whose broadness depends only on this parameter.
