Position Variance, Recurrence and Perceptual Learning

Zhaoping Li   Peter Dayan
NIPS 2000, to appear.


Abstract

Visual stimulus arrays are inevitably presented at different positions on the retina in perceptual learning tasks, even tasks that nominally require fixation. We show that inference in the face of positional variance has a structurally different quality from inference about fixed position stimuli, involving a particular, quadratic, non-linearity rather than a purely linear discrimination. We show the advantage this non-linearity has for discrimination, and suggest it as a role for recurrent connections in area V1.
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