  The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural
Network Architecture (SpiNNaker) are both neuromorphic technologies that
"unconventionally" use binary spikes to represent information. The ATIS
produces spikes to represent the change in light falling on the sensor, and the
SpiNNaker is a massively parallel computing platform that asynchronously sends
spikes between cores for processing. In this demonstration we show these two
hardware used together to perform a visual tracking task. We aim to show the
hardware and software architecture that integrates the ATIS and SpiNNaker
together in a robot middle-ware that makes processing agnostic to the platform
(CPU or SpiNNaker). We also aim to describe the algorithm, why it is suitable
for the "unconventional" sensor and processing platform including the
advantages as well as challenges faced.
