Embedded Neuromorphic Using Intel’s Loihi Processor

Recently, spiking neural networks (SNNs) have demonstrated great success due to their high-performance and low-energy consumption, which makes them suitable for being implemented on embedded devices, such as neuromorphic chips. This chapter presents an overview of event-based SNNs on neuromorphic hardware and their applications. It provides outlooks on the neuromorphic computing platforms, with a special focus on the Intel Loihi research chip. Afterward, a case study on a “car vs. background” classifier implemented on Loihi is discussed in detail.