  In this paper we propose an $\infty-$dimensional cerebellar model of neural
controller for realistic human biodynamics. The model is developed using
Feynman's action-amplitude (partition function) formalism. The cerebellum
controller is acting as a supervisor for an autogenetic servo control of human
musculo-skeletal dynamics, which is presented in (dissipative, driven)
Hamiltonian form. The $\infty-$dimensional cerebellar controller is closely
related to entropic motor control.
  Keywords: realistic human biodynamics, cerebellum motion control,
$\infty-$dimensional neural network
