IEEE Journal of Solid-State Circuits · 1993 · 131 citations · 25 references
EngineeringVlsi DesignAnalog DesignComputer ArchitectureIntegrated CircuitsComputing SystemsNeurocomputersElectrical EngineeringPrototype ChipComputer EngineeringComputer ScienceMicroelectronicsCircuit DesignCellular Neural NetworkComputational NeuroscienceVlsi ArchitectureCascade ConfigurationSelf-organizing Neural NetworksCompetition ResolutionBrain-like ComputingDigital Circuit Design
The design and implementation of a high-precision VLSI winner-take-all (WTA) circuit that can be arranged to process 1024 inputs are presented. The cascade configuration can be used to significantly increase the competition resolution and maintain high-speed operation for a large-scale network. The total bias current increases in proportion to the number of circuit cells so that a nearly constant response time is achieved. A unique dynamic current steering method is used to ensure that only a single winner exits in the final output. Experimental results for a prototype chip fabricated in a 2- mu m CMOS technology show that a cell can be a winner if its input is larger than those of the other cells by 15 mV. The measured response time is around 50 ns at a 1-pF load capacitance. This analog winner-take-all circuit is a key module in the competitive layer of self-organizing neural networks.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Teuvo Kohonen · Proceedings of the IEEE · 1990 · 8.1K citations
Artificial Intelligence, Intelligent Information Processing, Vector Quantization +18
Adaptive pattern recognition and neural networks
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