Evidence map›Paper›PMID 34665529›Full record

ReviewWiley interdisciplinary reviews. Cognitive science2022

Mixing memory and desire: How memory reactivation supports deliberative decision-making.

Shaoming Wang, Samuel F Feng, Aaron M Bornstein

Erratum issuedAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Cognitive science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  13. "Chasing the first high": memory sampling in drug choice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Shaoming WangDepartment of Psychology, New York University, New York, New York, USA.
Samuel F FengDepartment of Mathematics, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Aaron M BornsteinDepartment of Cognitive Sciences, University of California-Irvine, Irvine, California, USA.ORCID https://orcid.org/0000-0001-6251-6000

Funding

Improving multi-step planning in aging by overcoming deficits in memory encodingR21AG072673 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BORNSTEIN, AARON MICHAEL · 2021 to 2022
$801k
Brain and Behavior Research FoundationKhalifa University of Science and Technology CIRA-2019-050NIA NIH HHS R21 AG072673
6 · The paper itself

Abstract

Memories affect nearly every aspect of our mental life. They allow us to both resolve uncertainty in the present and to construct plans for the future. Recently, renewed interest in the role memory plays in adaptive behavior has led to new theoretical advances and empirical observations. We review key findings, with particular emphasis on how the retrieval of many kinds of memories affects deliberative action selection. These results are interpreted in a sequential inference framework, in which reinstatements from memory serve as "samples" of potential action outcomes. The resulting model suggests a central role for the dynamics of memory reactivation in determining the influence of different kinds of memory in decisions. We propose that representation-specific dynamics can implement a bottom-up "product of experts" rule that integrates multiple sets of action-outcome predictions weighted based on their uncertainty. We close by reviewing related findings and identifying areas for further research. This article is categorized under: Psychology > Reasoning and Decision Making Neuroscience > Cognition Neuroscience > Computation.

Indexed as

Decision MakingMemoryHumansNeurosciencesProblem SolvingUncertaintydecision makingepisodic memoryevidence accumulationreinforcement learning

Identifiers

PMID34665529
PMCPMC12173243

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.