Modeling electric image in weakly electric fish using electrical impedance tomography

In this study, the electrical image of electric fish is modeled via electrical impedance tomography (EIT) using EIDORS, which is a toolkit in MATLAB. The modeling consists of three steps: (1) an 80 cm tank containing water similar to seawater, (2) a fish modeled with 10 electrodes arranged like a fish body, and (3) 1 mA current flow through an electrode and generating an electric dipole field for modeling the field around the fish. To explore the electric image, five important variables in object detection including object distance, position, conductivity, size, and object symmetry and orientation are examined. In general, the analysis of the model indicates that changing each of the variables has an effect on the electrical image. This modeling is able to distinguish between different objects and produce a specific electrical image for each specific object.