Applications − Doing Stuff on the Machine

Petrut Antoniu Bogdan, Robert James, Gabriel Fonseca Guerra, Garibaldi Pineda García, Basabdatta Sen-Bhattacharya

Research output: Chapter in Book/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationSpiNNaker
Subtitle of host publicationA Spiking Neural Network Architecture
EditorsSteve Furber, Petruț Antoniu Bogdan
Place of PublicationBoston-Delft
PublisherNow Publishers Inc
Chapter5
Pages129-162
Number of pages34
Edition1
ISBN (Electronic)9781680836530
ISBN (Print)9781680836523
DOIs
Publication statusPublished - 30 Mar 2020

Fingerprint

Dive into the research topics of 'Applications − Doing Stuff on the Machine'. Together they form a unique fingerprint.

Cite this