In recent years, there has been significant research and development in the area of advanced circuits and systems for the recording of the electroneurogram (ENG) from peripheral nerve signals. This thesis presents an emulator of peripheral nerve for the testing of bio-potential recording systems under development reducing the need for early in vitro experiments and providing reproducible results. The emulator can be configured as an artificial nerve for ENG recording, which emulates the natural behavior of a nerve and provides an interface to the circuit under test. It is representative of a real nerve in terms of impedances, electrode voltages and action potential propagation characteristics as seen when recording from a nerve cuff electrode. Its dynamic behavior is controlled by a series of linked microcontrollers. The emulator provides different user selectable scenarios including single fiber action potential (SFAP), compound action potential propagation following stimulation (CAP), naturally occurring nerve traffic, and additional interference. This emulator circuit is designed using MATLAB and Cadence Spectre to perform circuit simulation. Measured results of the emulator based on a PCB including microcontrollers (PIC series, Microchip) are reported.