A discrete-time dynamic K-winners-take-all neural circuit

Authors:
Pavlo V. Tymoshchuk
Affiliations:
Institute of Computer Science & Information Technology, Lviv Polytechnic National University, 12, S. Bandera Str., Lviv 79013, Ukraine
Venue:
Neurocomputing
Year:
2009

Citing 11
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A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application

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An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its -Winners-Take-All Application

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K-winners-take-all circuit with O(N) complexity

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Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function

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Abstract

A discrete-time mathematical model of K-winners-take-all (KWTA) neural circuit that can quickly identify the K-winning from N neurons, where 1=