In addition to the creation of innovative neural decoding algorithms and systems, my work has been developing a state-of-the-art mobile embedded platform that can reduce the footprint of a neural signal processing system to a battery-enabled back-of-the-wheelchair computing module. Built around a Zynq FPGA-ARM hybrid processing system, this technology combines high-level synthesis for logic design, multi-core ARM programming, and low-latency processing of high-rate streams of human neural signals. This work, supported by the Department of Veterans Affairs to provide assistive technology to Veterans and others with disability, is on a path to be evaluated with study participants enrolled in the BrainGate BCI clinical trial.