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IEEE Transactions on Neural Networks
Lagrange programming neural networks for compressive sampling
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
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Analog neural network approach for source localization using time-of-arrival measurements
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Recurrent networks for compressive sampling
Neurocomputing
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Tam et al. (1996) proposed a simple circuit of winner-take-all (WTA) neural network. Assuming no external input, they derived an analytic equation for its network response time. In this paper, we further analyze the network response time for a class of winner-take-all circuits involving self-decay and show that the network response time of such a class of WTA is the same as that of the simple WTA model