Global matching and fluency attribution in familiarity assessment

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 t...

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Veröffentlicht in:The Behavioral and brain sciences 2019-01, Vol.42, p.e303-e303, Article e303
Hauptverfasser: Yang, Haopei, Köhler, Stefan
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container_title The Behavioral and brain sciences
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creator Yang, Haopei
Köhler, Stefan
description 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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source MEDLINE; Cambridge Journals
subjects Computer applications
Concept Formation
Decision making
Familiarity
Humans
Memory
Memory Disorders
Mental Recall
Open Peer Commentary
Recognition, Psychology
title Global matching and fluency attribution in familiarity assessment
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