Abstract
This paper describes a novel switched-capacitor design for the implementation of artificial neural networks in VLSI using the pulse-stream signalling mechanism and dynamic weight storage. Test results are presented from a small number of chips, paying particular attention to the synaptic weight linearity and storage time. The synaptic weights are fully-programmable and the VLSI chips can be used to process analogue sensor data in real time with an accuracy equivalent to 6 or 7 bits, as demonstrated in the robotics application described in the paper.
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References
Brownlow, M.J., Tarassenko, L. and Murray, A.F., “Analogue computation with VLSI neural network devices”, Electronics Letters, vol.26, pp. 1297–1299, 1990.
Graf, H.P., Jackel, L.D., Howard, R.E., Straughn, B., Denker, J.S., Hubbard, W.E., Tennant, D.M. and Schwartz, D., “VLSI implementation of a neural network memory with several hundreds of neurons ”, in Proc. AIP Conference on Neural Networks for Computing, Snowbird, pp. 182–187, 1986.
Grossberg, S., “Some Physiological and Biochemical Consequences of Psychological Postulates”, Proc. Natl. Acad. Sci USA, pp. 758–765, 1968.
Hamilton, A., Murray, A.F., Reekie, H.M. and Tarassenko, L., “Working Analogue Neural Network Chips”, in this volume.
Hopfield, J.J., “Neural Networks and Physical Systems with Emergent Collective Computational Abilities”, Proc. Natl. Acad. Sci. USA,vol.79, pp.2554–2558, 1982.
Hopfield, J.J., “Neural Networks and Physical Systems with Graded Response have Collective Properties like those of Two-State Neurons”, Proc. Natl. Acad. Sci. USA, vol.81, pp. 3088–3092, 1984.
Murray, A.F. and Smith, A.V.W., “Asynchronous VLSI Neural Networks using Pulse Stream Arithmetic”, IEEE J. Solid-State Circuits & Systems, vol.23, pp. 688–697, 1988.
Murray, A.F., Smith, A.V.W. and Tarassenko, L., “Fully-programmable Analogue VLSI Devices for the Implementation of Neural Networks’, in VLSI for Artificial Intelligence, Delgado-Frias, J.G. and Moore, W.R., Eds., Kluwer Academic Publishers, Boston, Mass., pp. 236–244, 1989.
Murray, A.F., Hamilton, A. and Tarassenko, L., “Programmable Analog Pulse-firing Networks’, in Advances in Neural Information Processing Systems, Touretzky, D.S., Ed., Morgan Kaufmann, pp. 671–677, 1989.
Tarassenko, L., Brownlow, M.J. and Murray, A.F., “VLSI neural networks for autonomous robot navigation”, in Proc. International Neural Network Conference,Paris, pp. 213–216,1990.
Vittoz, E., Oguey, H., Maher, M.A., Nys, O., Dijkstra, E. and Chevroulet, M., “Analog Storage of Adjustable Synaptic Weights”, in Proceedings of 1st Int. Workshop on Microelectronics for Neural Networks, pp. 69–79, 1990.
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Brownlow, M., Tarassenko, L., Murray, A. (1991). Results from Pulse-Stream VLSI Neural Network Devices. In: Delgado-Frias, J.G., Moore, W.R. (eds) VLSI for Artificial Intelligence and Neural Networks. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3752-6_21
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DOI: https://doi.org/10.1007/978-1-4615-3752-6_21
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