Noisy templates explain area summation

  title={Noisy templates explain area summation},
  author={William McIlhagga and Ari P{\"a}{\"a}kk{\"o}nen},
  journal={Vision Research},
The noisy template model is a variant of an ideal detector for a signal known except for contrast. The ideal detector cross-correlates the stimulus with a normalised template which is matched to the known signal pattern. The noisy template model simply adds noise to the matched template every time it is cross-correlated with the signal. This paper outlines the predictions of the noisy template model for area summation. The noisy template model explains Piper's Law, as does the ideal-observer… CONTINUE READING

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