Evidence map›Paper›PMID 38663090›Full record

ReviewAnnual review of neuroscience2024

Learning, Fast and Slow: Single- and Many-Shot Learning in the Hippocampus.

Zhenrui Liao, Attila Losonczy

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

14 citing papers in PubMed, 13 citations in OpenAlex.

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  9. Building Goal-Directed Cognitive Graphs.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Zhenrui LiaoDepartment of Neuroscience and Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; email: al2856@columbia.edu.
Attila LosonczyDepartment of Neuroscience and Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; email: al2856@columbia.edu.
Columbia University · US

Funding

Optimization, application and dissemination of high-speed hybrid multiphoton volumetric imaging technologiesU01NS115530 · NINDS · ROCKEFELLER UNIVERSITY · PI LOSONCZY, ATTILA, VAZIRI, ALIPASHA · 2020 to 2023
$4.7M
Microcircuit, cellular and molecular dissection of impaired hippocampal function in a mouse model of the 22q11.2 deletionR01MH124047 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOGOS, JOSEPH A, LOSONCZY, ATTILA · 2020 to 2024
$3.8M
Experimental and modeling investigations into microcircuit, cellular and subcellular determinants of hippocampal ensemble recruitment to contextual representationsR01MH124867 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOSONCZY, ATTILA, POIRAZI, PANAYIOTA · 2021 to 2025
$3.4M
Control of Axon Initial Segment in EpilepsyR01NS121106 · NINDS · STANFORD UNIVERSITY · PI LOSONCZY, ATTILA, SOLTESZ, IVAN · 2021 to 2025
$3.4M
Local Circuit Control of Rapid Plasticity and Tunable Ensemble Formation in the HippocampusRF1NS133381 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOSONCZY, ATTILA, SOLTESZ, IVAN · 2023 to 2023
$2.6M
Dissecting the role of the dentate gyrus microcircuit to improve cognitive discrimination in aging and Alzheimer's DiseaseRF1AG080818 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FUSI, STEFANO, HEN, RENE · 2023 to 2023
$2.5M
Closed-loop intervention in epilepsy.R01NS094668 · NINDS · STANFORD UNIVERSITY · PI LOSONCZY, ATTILA, SOLTESZ, IVAN · 2015 to 2019
$2.3M
Activity-dependent endocannabinoid control in epilepsyR01NS131728 · NINDS · STANFORD UNIVERSITY · PI Attila Losonczy, IVAN SOLTESZ · 2023 to 2026
$2.3M
Local Circuit Control of Rapid Plasticity and Tunable Ensemble Formation in the HippocampusR01NS133381 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI Attila Losonczy, IVAN SOLTESZ · 2026 to 2026
$752k
Dissecting microcircuit alterations in the epileptic dentate gyrus with functional imagingF31NS120783 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIAO, ZHENRUI · 2020 to 2022
$119k
NIA NIH HHS RF1 AG080818NIMH NIH HHS R01 MH124047NIMH NIH HHS R01 MH124867NINDS NIH HHS F31 NS120783NINDS NIH HHS R01 NS094668NINDS NIH HHS R01 NS121106NINDS NIH HHS R01 NS131728NINDS NIH HHS R01 NS133381NINDS NIH HHS RF1 NS133381NINDS NIH HHS U01 NS115530
6 · The paper itself

Abstract

The hippocampus is critical for memory and spatial navigation. The ability to map novel environments, as well as more abstract conceptual relationships, is fundamental to the cognitive flexibility that humans and other animals require to survive in a dynamic world. In this review, we survey recent advances in our understanding of how this flexibility is implemented anatomically and functionally by hippocampal circuitry, during both active exploration (online) and rest (offline). We discuss the advantages and limitations of spike timing-dependent plasticity and the more recently discovered behavioral timescale synaptic plasticity in supporting distinct learning modes in the hippocampus. Finally, we suggest complementary roles for these plasticity types in explaining many-shot and single-shot learning in the hippocampus and discuss how these rules could work together to support the learning of cognitive maps.

Indexed as

HippocampusLearningNeuronal PlasticityAnimalsHumanshippocampuslearningmemoryplasticity

Identifiers

PMID38663090
PMCPMC11519319
OpenAlexW4395445860

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.