Design of a one million neuron single FPGA neuromorphic system for real-time multimodal scene analysis

In this paper, we present an architecture and corresponding analysis for large-scale neuromorphic systems using a digital approach where neurons are abstracted as arithmetic logic units and communication processors. After presenting the architecture, we establish a few basic architectural principles, particularly the scaling of the system to large arrays. We demonstrate the reality of a single chip million neuron system built from these principles in commercial off the shelf FPGA.