Generating graceful yet powerful muscle forces via stimulation of peripheral nerve is complicated by non-selective stimulus mechanisms, as well as indeterminate voltage and current values required for optimal recruitment of individual neurons. To address these issues, we developed a computational model of sciatic nerve stimulation in conjunction with electrophysiological experiments (McDonnall et al, SFN Abstracts 2003). The purpose of the model is to determine axonal recruitment as a function of electrode position and stimulation paradigm. A detailed anatomical model was generated from a stained, digitized slice of nerve. For one fascicle of the nerve, each tissue type was identified and assigned a conductivity tensor; the slice was then extruded in the longitudinal direction to create a 3D volume conductor. The anatomical model was integrated with a biophysical model that combines cell membrane resistance and capacitance with the Poisson equation. The resulting system of equations was solved for time and...