Computational modeling of the rat hippocampus for improving neural stimulation

Neural prostheses are used to restore some level of function to tissue damaged by disease. It is important to model and correctly identify the relationship between electrical stimulation and neural response to provide a framework for prosthetic stimulation. This work will show a structure for conducting that analysis with several models and experi-mental setups presented. Specifically, a multi-scale modeling approach is employed where the admittance method is used to simulate the voltage distribution through the tissue and Neuron software is used to simulate the resulting cell response. Results will include an analysis of the effects of capacitance, heterogeneous resistivity, electrode depth, ephaptic coupling, and a presentation of a bi-directional communication simulation strategy between the admittance method and Neuron.