Early experience with low-pass filtered images facilitates visual category learning in a neural network model

HIGHLIGHTS

• who: Omisa Jinsi et al. from the Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of have published the paper: Early experience with low-pass filtered images facilitates visual category learning in a neural network model, in the Journal: PLOS ONE of 21/Dec/2022
• what: Below the authors provide additional background on the relationship between image blurring, silhouette information, and basic-level categories, as well as a review of relevant work that has examined the effect of image blurring on category learning in somewhat different domains. In this context, the authors propose . . .
  

   

  

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