VLSI Bit-Serial Neural Networks

  • Zoe Butler
  • Alan Murray
  • Anthony Smith
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 68)

Abstract

A synthetic neural network can be viewed as a large parallel array of n 2 synaptic operators (for n neurons) that is able to model some of the brain’s characteristics. The VLSI neural network described, functions with bit-serial, two’s complement arithmetic and uses a single phase clocking technique operating at a minimum of 20 MHz (McGregor et al 1987).

Keywords

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References

  1. Hopfield, J. J., “Neural Networks with Emergent Collective Computational Abilities,” Proceedings of the National Academy of Science, USA, vol. 79, pp. 2554–2558, 1982.Google Scholar
  2. McGregor, M.S., Denyer, P.B. and Murray, A.F., “A Single — Phase Clocking Scheme for CMOS VLSI,” Advanced Research in VLSI: Proceedings of the 1987 Stanford Conference, 1987.Google Scholar
  3. Murray, A.F., Smith, A.V.W. and Butler, Z. F., “Bit-serial Neural Networks,” IEEE Conf. on Neural Infomation Processing Systems — Natural and Synthetic, Denver, 1987.Google Scholar
  4. Rumelhart, D.E., Hinton, G.E. and Williams, R.J., “Learning Internal Representations by Error Propagations”, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol. 1, pp. 318–362, 1986.Google Scholar

Copyright information

© Kluwer Academic Publishers 1989

Authors and Affiliations

  • Zoe Butler
  • Alan Murray
  • Anthony Smith

There are no affiliations available

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