Evidence map›Paper›PMID 34473948›Full record

ArticleCurrent biology : CB2021

Rats use memory confidence to guide decisions.

Hannah R Joo, Hexin Liang, Jason E Chung, Charlotte Geaghan-Breiner, Jiang Lan Fan, Benjamin P Nachman, Adam Kepecs, Loren M Frank

Abstract read
In one paragraph

Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  9. Tracing the shadow of time.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hannah R JooMedical Scientist Training Program, University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, USA; Department of Physiology, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA. Electronic address: hannah.joo@ucsf.edu.
Hexin LiangNeuroscience Graduate Program, The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA.
Jason E ChungKavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, USA; Department of Physiology, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
Charlotte Geaghan-BreinerKavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, USA; Department of Physiology, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA.
Jiang Lan FanBioengineering Graduate Program, University of California, Berkeley/University of California, San Francisco, 1675 Owens Street, San Francisco, CA 94158, USA.
Benjamin P NachmanPhysics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA; Berkeley Institute of Data Science, University of California, Berkeley, 190 Doe Library, Berkeley, CA 94720, USA.
Adam KepecsDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO 63110, USA.
Loren M FrankKavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, USA; Department of Physiology, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, MD 20815, USA. Electronic address: loren@phy.ucsf.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Modular Systems for Large Scale, Long Lasting Measurements of Brain ActivityUF1NS107667 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADESNIK, HILLEL, BRAINARD, MICHAEL S · 2018 to 2018
$6.1M
Decision confidence: neural coding and causal circuit mechanisms in behaviorR01MH097061 · NIMH · WASHINGTON UNIVERSITY · PI KEPECS, ADAM · 2014 to 2024
$4.7M
Computational and Circuit Mechanisms for information transmission in the brainU01NS094288 · NINDS · COLD SPRING HARBOR LABORATORY · PI EDEN, URI TZVI, FRANK, LOREN M · 2015 to 2018
$3.7M
Memory and memory confidence in the hippocampus and orbitofrontal cortexF30MH115582 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOO, HANNAH · 2017 to 2020
$162k
Hippocampal-prefrontal interactions during memory-guided decision makingF30MH109292 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHUNG, JASON ERN-CHI · 2015 to 2017
$106k
Howard Hughes Medical InstituteNIGMS NIH HHS T32 GM007618NIMH NIH HHS F30 MH109292NIMH NIH HHS F30 MH115582NIMH NIH HHS R01 MH097061NINDS NIH HHS U01 NS094288NINDS NIH HHS UF1 NS107667
6 · The paper itself

Abstract

Memory enables access to past experiences to guide future behavior. Humans can determine which memories to trust (high confidence) and which to doubt (low confidence). How memory retrieval, memory confidence, and memory-guided decisions are related, however, is not understood. In particular, how confidence in memories is used in decision making is unknown. We developed a spatial memory task in which rats were incentivized to gamble their time: betting more following a correct choice yielded greater reward. Rat behavior reflected memory confidence, with higher temporal bets following correct choices. We applied machine learning to identify a memory decision variable and built a generative model of memories evolving over time that accurately predicted both choices and confidence reports. Our results reveal in rats an ability thought to exist exclusively in primates and introduce a unified model of memory dynamics, retrieval, choice, and confidence.

Indexed as

Decision MakingMemoryAnimalsChoice BehaviorRatsRewardbehaviorconfidencedecision makingdeep neural networkmachine learningmemorymetamemoryratspatial memory

Identifiers

PMID34473948
PMCPMC8551068

What OpenQuestion holds

Textmetadata
LicenceTDM
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.