Mlrf 1

In the first paper of this series a perceptual modeling approach was proposed to model the properties of illusory figures as a transformation from the information present in the stimulus to the information apparent in the subjective percept. This approach suggested a Multi-Level Reciprocal Feedback model of perceptual processing. That model is now compared with corresponding neural network models to show how the same concept can be elaborated to account for a number of second order properties of collinear illusory contour formation. The perceptual modeling approach liberates the model from neurophysiological considerations which have handicapped the neural network theories, which allows the model to more accurately reflect the Gestalt properties of emergence, reification, and amodal perception apparent in the illusory phenomena. The perceptual model also clearly defines exactly what the output of the model represents in perceptual terms, allowing the output of the model to be compared directly with psychophysical data and with the subjective experience of these illusions.