Abstract Many models have been presented in the literature, since 50s, which describe very well the behavior of nerve fibers, all of them are based on Hodgkin and Huxley’s work (1952). In this thesis a particular attention was given to SENN model (spatially extended nonlinear node), it was analyzed and then extended further to include nonlinear Frankenhaeuser and Huxley equations in all nodes. The new model obtained is easily implementable, applicable to different nerve’s structures and works with multiple classes of external stimuli. The second part of the thesis focuses on 3D-modelling. A special algorithm is used to identify the nerve voxels from a 3D body model and then approximate the structure topology with the centerline.