SpiNNaker: A Spiking Neural Network Architecture

Edited by Steve Furber, University of Manchester, UK | Petrut Bogdan, University of Manchester, UK

Publication Date: 31 Mar 2020

Suggested Citation: Steve Furber (ed.), Petrut Bogdan (ed.) (2020), "SpiNNaker: A Spiking Neural Network Architecture", Boston-Delft: now publishers, http://dx.doi.org/10.1561/9781680836523

SpiNNaker: A Spiking Neural Network Architecture

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Description

20 years in conception and 15 in construction, the SpiNNaker project has delivered the world’s largest neuromorphic computing platform incorporating over a million ARM mobile phone processors and capable of modelling spiking neural networks of the scale of a mouse brain in biological real time. This machine, hosted at the University of Manchester in the UK, is freely available under the auspices of the EU Flagship Human Brain Project. This book tells the story of the origins of the machine, its development and its deployment, and the immense software development effort that has gone into making it openly available and accessible to researchers and students the world over. It also presents exemplar applications from ‘Talk’, a SpiNNaker-controlled robotic exhibit at the Manchester Art Gallery as part of ‘The Imitation Game’, a set of works commissioned in 2016 in honour of Alan Turing, through to a way to solve hard computing problems using stochastic neural networks. The book concludes with a look to the future, and the SpiNNaker-2 machine which is yet to come.

  • Frontmatter

    Steve Furber | Petrut Bogdan

    Pages i-xxiv
  • 1. Origins

    Steve Furber

    Pages 1-16
  • 2. The SpiNNaker Chip

    Jim Garside | Luis A. Plana

    Pages 17-52
  • 3. Building SpiNNaker Machines

    Luis A. Plana | Steve Temple | Jonathan Heathcote | Dave Clark | Jeffrey Pepper | Jim Garside | Steve Furber

    Pages 53-78
  • 4. Stacks of Software Stacks

    Andrew Rowley | Oliver Rhodes | Petrut Bogdan | Christian Brenninkmeijer | Simon Davidson | Donal Fellows | Steve Furber | Andrew Gait | Michael Hopkins | David Lester | Mantas Mikaitis | Luis Plana | Alan Stokes

    Pages 79-128
  • 5. Applications - Doing Stuff on the Machine

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

    Pages 129-162
  • 6. From Activations to Spikes

    Francesco Galluppi | Teresa Serrano Gotarredona | Qian Liu | Evangelos Stromatias

    Pages 163-208
  • 7. Learning in Neural Networks

    Petrut Bogdan | Garibaldi Pineda García | Michael Hopkins | Edward Jones | James Knight | Adam Perrett

    Pages 209-266
  • 8. Creating the Future

    Dave Clark | Andreas Dixius | Steve Furber | Jim Garside | Michael Hopkins | Sebastian Höppner | Dongwei Hu | Florian Kelber | Gengting Liu | Christian Mayr | Mantas Mikaitis | Felix Neumärker | Johannes Partzsch | Stefan Schiefer | Stefan Scholze | Delong Shang | Marco Stolba

    Pages 267-284
  • Pages 285-310
  • Pages 311-322
  • Pages 323-323
  • Pages 325-325
  • ISBN: 978-1-68083-652-3
    350 pp. Price: $90.00 Buy Book (hb)
  • ISBN: 978-1-68083-653-0
    350 pp. Open Access (.pdf) This is published under the terms of CC BY-NC