5. Applications - Doing Stuff on the Machine

By Petrut Bogdan, University of Manchester, UK | Robert James, University of Manchester, UK | Gabriel Fonseca Guerra, University of Manchester, UK | Garibaldi Pineda García, University of Sussex, UK | Basabdatta Sen-Bhattacharya, BITS Pilani, Goa Campus, India

Published: 31 Mar 2020

© 2020 Petrut Bogdan | Robert James | Gabriel Fonseca Guerra | Garibaldi Pineda García | Basabdatta Sen-Bhattacharya


This chapter covers a wide range of topics. We begin by first presenting an art exhibit and SpiNNaker’s place in it – we start light. Then, we present a suite of approaches to engineer SNNs for a variety of computer vision tasks. Progressing through this chapter we present a large-scale model of a cochlea (SpiNNak-Ear). This application is only possible on SpiNNaker because of general-purpose nature of the CPUs and the software written to support such generic, graph-based applications. From sensing to decision making, we present a model of a Basal Ganglia (BG), of course, simulated on SpiNNaker. Finally, we use SNNs as the method of solving constraint satisfaction problems.