Deep brain stimulation is a therapy where an electrode is placed in the brain and periodic electrical pulses are delivered for treatment of diseases such as Parkinson's Disease and Epilepsy. This therapy has been quite successful in Parkinson's and moderately successful in epilepsy. Despite the wide range of stimulation parameters that can be used, only a small range is used by the clinician setting them. A closed loop optimization algorithm optimizing stimulation parameters based on physiological measures may deliver patient specific treatment achieving higher efficacy with lower energy. I will discuss the approaches my lab has taken for designing optimal stimulation from physiological signals. In another application of control in the nervous system, I will discuss how control is used in development. The nervous system must use closed loop control during development to achieve the proper balance of excitation and inhibition and network topological structures. I will also briefly try to describe an open question of how neurons develop complex networks with limited information about their neighbors.