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A simple learning model is developed for signal detection tasks. The model replaces the cut-off decision rule of signal detection theory by a probabilistic rule. The ROC curves predicted are indistinguishable from those predicted by signal detection theory. The model has the added advantage however of describing well ‘non-optimal’ behaviour and predicts probability matching under some circumstances.