In silico models of excitable membranes was first derived to describe action potential generation in C -fibers. However, in silico models of C-fibers are still under-used in the field of neuropathic pain. This presentation will provide an introduction into in silico models of peripheral nerve fibers and how they can be integrated into the field of neuropathic pain. The focus will be on multi-compartment models with a wide range of ion channels and a biologically realistic morphology. The voltage-gated ion channels are modeled by Hodgkin-Huxley dynamics and include the subtypes NaTTXs, NaTTXr, NaTTXrp, KA, KDr, KM and HCN. In silico nerve fiber models can be used to design experiments, understand mechanisms and make predictions. One of the key features that have been linked with neuropathic pain is spontaneous nociceptor activity. The study of this type of pathological excitability alterations is particularly suitable for multi-compartmental models of excitable membrane. The results from in silico models may propose possible mechanisms for spontaneous nociceptor activity and may also indicate how the pathological activity can be functionally restored.