Learning exceptions to the rule in human and model via hippocampal encoding.

ABSTRACT: Category learning helps us process the influx of information we experience daily. A common category structure is "rule-plus-exceptions," in which most items follow a general rule, but exceptions violate this rule. People are worse at learning to categorize exceptions than rule-following items, but improved exception categorization has been positively associated with hippocampal function. In light of model-based predictions that the nature of existing memories of related experiences impacts memory formation, here we use behavioural and computational modelling data to explore how learning sequence impacts performance in rule-plus-exception categorization. Our behavioural results indicate that exception categorization accuracy improves when exceptions are introduced later in learning, after e

SUBMITTER: Heffernan EM 

PROVIDER: S-EPMC8563716 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature