Literature DB >> 28387587

Multiple-object Tracking as a Tool for Parametrically Modulating Memory Reactivation.

Jordan Poppenk1, Kenneth A Norman2.   

Abstract

Converging evidence supports the "nonmonotonic plasticity" hypothesis, which states that although complete retrieval may strengthen memories, partial retrieval weakens them. Yet, the classic experimental paradigms used to study effects of partial retrieval are not ideally suited to doing so, because they lack the parametric control needed to ensure that the memory is activated to the appropriate degree (i.e., that there is some retrieval but not enough to cause memory strengthening). Here, we present a novel procedure designed to accommodate this need. After participants learned a list of word-scene associates, they completed a cued mental visualization task that was combined with a multiple-object tracking (MOT) procedure, which we selected for its ability to interfere with mental visualization in a parametrically adjustable way (by varying the number of MOT targets). We also used fMRI data to successfully train an "associative recall" classifier for use in this task: This classifier revealed greater memory reactivation during trials in which associative memories were cued while participants tracked one, rather than five, MOT targets. However, the classifier was insensitive to task difficulty when recall was not taking place, suggesting that it had indeed tracked memory reactivation rather than task difficulty per se. Consistent with the classifier findings, participants' introspective ratings of visualization vividness were modulated by MOT task difficulty. In addition, we observed reduced classifier output and slowing of responses in a postreactivation memory test, consistent with the hypothesis that partial reactivation, induced by MOT, weakened memory. These results serve as a "proof of concept" that MOT can be used to parametrically modulate memory retrieval-a property that may prove useful in future investigation of partial retrieval effects, for example, in closed-loop experiments.

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Year:  2017        PMID: 28387587      PMCID: PMC5502712          DOI: 10.1162/jocn_a_01132

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  25 in total

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7.  Interference with visualization.

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8.  Moderate levels of activation lead to forgetting in the think/no-think paradigm.

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Journal:  Neuropsychologia       Date:  2013-03-07       Impact factor: 3.139

9.  Closed-loop training of attention with real-time brain imaging.

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Authors:  Jarrod A Lewis-Peacock; Kenneth A Norman
Journal:  Nat Commun       Date:  2014-12-18       Impact factor: 14.919

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  2 in total

Review 1.  Nonmonotonic Plasticity: How Memory Retrieval Drives Learning.

Authors:  Victoria J H Ritvo; Nicholas B Turk-Browne; Kenneth A Norman
Journal:  Trends Cogn Sci       Date:  2019-07-26       Impact factor: 20.229

2.  A Study of the Brain Network Connectivity in Visual-Word Pairing Associative Learning and Episodic Memory Reactivating Task.

Authors:  Mingxin Zhang; Feng Duan; Shan Wang; Kai Zhang; Xuyi Chen; Zhe Sun
Journal:  Comput Intell Neurosci       Date:  2021-07-08
  2 in total

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