||Fully integrated, implantable, and wireless neural interface systems typically re-quire a forward data link in addition to the telemetry link that transmits data from the chip. One popular way to create this forward data link is to amplitude modulate the magnetic fi eld of the inductive link that provides the device with wireless power. However, the limitations of these channels when loaded with a recti fier and amplitude modulated have not previously been characterized, and this lack of understanding caused previous versions of the Integrated Neural Interface (INI) to have forward data communication issues, which needed to be corrected for the next generation of the device, INIR8. This thesis first develops an analytical method of characterizing this sort of wireless channel. It then shows measurement data that verifies the validity of the model in the desired region of operation. The available bandwidth as determined by this analytical method, and confirmed by simulation, is insufficient for many applications. Therefore, the next subject of this thesis is to increase the data rate beyond what the bandwidth of the system can intrinsically support by using an equalization technique. This technique is shown to support very robust data recovery under a variety of operating conditions and to data rates much higher than otherwise possible. Another way to improve the reliability of data recovery is to develop a robust digital control system with error detection capabilities. This was done for INIR8, and works very reliably. The end result of this eff ort is a very robust forward data communication in INIR8, as well as a new analytical method for characterizing inductively coupled channels with certain loads and modulation techniques.