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Unformatted text preview: For simplicity we’ll treat w as a binary vector. Perceiving the
image as only that from the left eye would be w = 1. Nick Jones Sampling and the Brain: Inference, Control and Driving Occlusion
Left eye xL ; Right eye xR ; Perception s; sn = wn xn − (1 − wn )xn ;
w is a binary vector.
For ﬁxed images we might expect a statistical model to yield a
posterior distributed about a consensus version of w e.g. w = 2 . A
fusion not a rivalry.
Suppose that each eye’s input is partly blocked by some dead
pixels (e.g. intervening objects or vessels or eye’s blindspot).
Encode these as images:
Left eye occlusion π L
Right eye occlusion π R
Suppose, further, that these occlusions undergo Glauber
dynamics.If we couple this noise in appropriately it can induce a
bimodal distribution on the marginal posteriors over sn with one
mode associated with xn and one as...
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- Spring '14