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 |
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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. |
doi_str_mv | 10.1017/S0140525X19001912 |
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language | eng |
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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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