Models and mechanisms of visual masking: a selective review and comparison
Models and mechanisms of visual masking: a selective review and comparison
This chapter presents models and mechanisms of masking according to five distinguishing characteristics: (i) models based on spatiotemporal response sequences; (ii) models adopting some version of an overtake hypothesis; (iii) models based on two separate neural processes or channel activations; (iv) models relying on stimulus or object substitution; and (v) models based on emergent properties of distributed neural networks. The models discussed in detail include spatiotemporal sequence models (Kahneman's impossible motion model, Matin's three-neuron model, and Burr's spatiotemporal receptive field model), two-process models (Ganz's interactive trace decay and random encoding time model, Reeves' temporal integration and segregation model, and Navon and Purcell's integration and interruption model), neural network models (Bridgeman's Hartline–Ratliff inhibitory network, Weisstein's Rashevsky–Landahl two-factor neural network, perceptual retouch model, and Boundary Contour System (BCS) model), and object substitution models.
Keywords: visual masking, spatiotemporal sequence models, two-process models, neural network models, object substitution models
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