Abstract
A dynamic, strong winner-take-all model is presented. It is based on a limited integrator that is fed by potential differences between feedback from a single interneuron and the input value. The model does not require a special nonlinear function in the forward path. In equilibrium state, a single winner neuron transmits its input value to the output without change. For a two-neuron system the behaviour is shown graphically. Equilibrium states are determined for different types of input vectors.
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Möller, R. A strong winner-take-all model based on integration of potential differences. Neural Process Lett 2, 1–3 (1995). https://doi.org/10.1007/BF02332157
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DOI: https://doi.org/10.1007/BF02332157