The goal of this resource is to develop a relatively generic framework that would allow preclinical experiments to inform clinical decision making.  Unfortunately in the area of peripheral neuromodulation, it is not possible to do analogous modulation as one can do in the preclinical environment.  The question this model-building framework is asking is, "Can human peripheral therapeutic stimulation be mapped to a preclinical system and produce an appropriate  electrophysiological response which is subsequently mapped to an appropriate human electrophysiological response all done in silico with deterministic and machine learning models?"  This framework would essentially functionalize the preclinical system as a forecaster/predictor of human response but me much better grounded than previous work.  It could really break down barriers to neuromodulation therapy.