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The combination of two or more population-coded signals in a neural model of predictive coding can give rise to multiplicative gain modulation in the response properties of individual neurons. Synaptic weights generating these multiplicative response properties can be learned using an unsupervised, Hebbian, learning rule. The behaviour of the model is compared to empirical data on gaze-dependent gain modulation of cortical cells, and found to be in good agreement with a range of physiologicaldoi:10.1162/neco_a_00130 pmid:21395434 fatcat:ffhvblababb6ffskdqp74bn6ea