Figure 1: A two pathways Bayesian model. The three computational steps to extract parallel, distributed representations of 1D and 2D motion cues are illustrated for a plaid (left-hand panels) and a barber-pole (right-hand panels). (a) Outputs of the initial filtering stage extracting 1D and 2D motion features. (b) Log-likelihood distributions in the velocity space (vx,vy) are plotted for each pathway, together with a common prior distribution centered at (0,0). (c) A posteriori log-probability distribution of 1D and 2D motion signals at both low (10%, higher row) and high (40%, lower row) contrast.

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