Title

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.

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