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Abstract:
We describe a neural network which enhances and completes
salient closed contours. Our work is different from all previous
work in three important ways. First, like the input provided to
V1 by LGN, the input to our computation is isotropic. That is,
the input is composed of spots not edges. Second, our network
computes a well defined function of the input based on a
distribution of closed contours characterized by a random
process. Third, even though our computation is implemented in a
discrete network, its output is invariant to continuous rotations
and translations of the input pattern.
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