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Global matching and fluency attribution in familiarity assessment

Published online by Cambridge University Press:  03 January 2020

Haopei Yang
Affiliation:
Graduate Program in Neuroscience, Western University, London, Ontario, N6A 3K7, Canadahyang336@uwo.ca The Brain and Mind Institute, Western University, London, Ontario, N6A 3K7, Canadastefank@uwo.cahttps://kohlermemorylab.org/
Stefan Köhler
Affiliation:
The Brain and Mind Institute, Western University, London, Ontario, N6A 3K7, Canadastefank@uwo.cahttps://kohlermemorylab.org/ Department of Psychology, Western University, London, Ontario, N6A 3K7, Canada.

Abstract

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.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2020

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