Global matching and fluency attribution in familiarity assessment
Document Type
Article
Publication Date
1-1-2019
Journal
Behavioral and Brain Sciences
URL with Digital Object Identifier
10.1017/S0140525X19001912
Abstract
Copyright © Cambridge University Press 2020. In the integrative memory model proposed by Bastin et al.familiarity is thought to arise from attribution of fluency signals. We suggest that, from a computational and anatomical perspective, this conceptualization converges with a global-matching account of familiarity assessment. We also argue that consideration of global matching and evidence accumulation in decision making could help further our understanding of the proposed attribution system.
Notes
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