Network models for the lower urinary tract (LUT) are not publicly available presently to guide the development and optimization of components of the neural lower urinary tract in mammals. 

Although research has helped shed light on the functioning of specific components of the neural LUT in mammals, and of the effect of neuromodulation on specific dysfunction, the dynamics of the linkages among the various components of the LUT circuit and how they coordinate function during normal and injury cases remains unclear. There is need for a fully functional biophysical network model integrating the key components of the LUT for understanding function and for designing stimulation techniques to alleviate dysfunction. A key requirement is that the model provide testable predictions. For design of stimulation techniques, we will focus on developing capability to permit users to both (i) optimize existing strategies, and (ii) aid in the design of improved neuromodulation therapy for bladder dysfunction. We will develop sand-box models of both components and of the overall network to provide the user to both generate 'what if' scenarios of interest to them, and to simulate those scenarios to generate testable predictions related to functioning, dysfunction, and therapy. To guide the user, we will provide well-documented example cases.