Abstract
Neural networks are identified as an effective means of performing pattern recognition on image data. To take advantage of the parallelism inherent in such architectures, an analogue CMOS VLSI circuit has been developed. This device consists of novel pulse-firing neurons and synapses. The neurons are current controlled oscillators, which deplete their own input activity whenever a pulse is fired, in a manner similar to biological neurons. The synapses use neural voltage pulses to create pulsed current outputs. The magnitude of these outputs is determined by the synaptic weight voltage. When configured as a multi-layered perceptron, the neural circuit will facilitate the “real-tune” labelling of regions in segmented images.
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© 1991 Springer Science+Business Media New York
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Churcher, S., Murray, A.F., Reekie, H.M. (1991). Pulse-Firing VLSI Neural Circuits for Fast Image Pattern Recognition. 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_23
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DOI: https://doi.org/10.1007/978-1-4615-3752-6_23
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