16. The apparatus of claim 14 , wherein the stochastic learning block is operable according to a stochastic process characterized by a current state and a desired state, the stochastic process being described by a state variable configured to transition the learning block from the current state to the desired state.
16. The apparatus of claim 14 , wherein the stochastic learning block is operable according to a stochastic process characterized by a current state and a desired state, the stochastic process being described by a state variable configured to transition the learning block from the current state to the desired state. 19. The apparatus of claim 16 , wherein: the hybrid learning rule is characterized by a hybrid performance function comprising a simultaneous combination of a reinforcement learning performance function and an unsupervised learning performance function; and the simultaneous combination is effectuated based on a value of the hybrid performance function determined at a time step, the value comprising the reinforcement performance function value and the unsupervised learning performance function value.