Visual Expertise Depends on How You Slice the Space

trained networks to perform fine-level discrimination on fonts, an obviously non-face category, and showed that these font networks learn a new task faster than networks trained to identify letters, illustrating that visual expertise does not rely on number of discriminations, but rather on how the representational space is partitioned.