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© 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.