Why and how the co-occurring familiar object matters in Fast Mapping (FM)? Insights from computational models.

This article uses insights from computational semantic networks to explain why the co-occurring familiar objects are critical to the Fast Mapping (FM) procedure. I first propose that the co-occurring familiar objects provide the novel targets with a 'mimicry opportunity', which may facilitate the establishment of targets in long-term cortical memory networks. I then argue that the occurrence of rapid cortical learning may depend on how 'well-connected' the co-occurring familiar object is in long-term memory networks.