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Two-comparator-based rate code models-a control architecture and the corresponding reconstruction network-are merged. The role of reconstruction is information maximization and bottom-up (BU) noise filtering, whereas top-down control 'paves the way' for context compliant BU information that, together, we identify with attentional filtering. Falsifying prediction of the model has gained experimental support.