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Cutting out the middleman: Separating attributional biases from memory deficits

Published online by Cambridge University Press:  03 January 2020

Wei-Chun Wang Open the ORCID record for Wei-Chun Wang [Opens in a new window]
Wei-Chun Wang*
Affiliation:
Department of Psychology, University of California, Berkeley, CA94720-1650. wcwang@berkeley.edu
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Abstract

Bastin and colleagues present an integrative model of how recollection- and familiarity-based memories are represented in the brain. While they emphasize the role of attribution mechanisms in shaping memory retrieval, prior work examining implicit memory suggests that memory deficits may be better understood by separating attributional biases from the underlying memory traces.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 42 , 2019 , e302
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Copyright
Copyright © Cambridge University Press 2020

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