Evidence map›Paper›PMID 23523593›Full record

ArticleNeuron2013

Dynamic reconfiguration of hippocampal interneuron circuits during spatial learning.

David Dupret, Joseph O'Neill, Jozsef Csicsvari

Abstract read
In one paragraph

Article in Neuron, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
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  5. Reduction in hippocampal cholinergic neurostimulating peptide enhances memory impairment in AppAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Article
  7. Review
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  19. Article
  20. The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article

24 more citing papers are in PubMed but not listed here.

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

3 authors.

David DupretMRC Anatomical Neuropharmacology Unit, Department of Pharmacology, University of Oxford, Mansfield Road, Oxford OX1 3TH, UK. david.dupret@pharm.ox.ac.uk
Joseph O'Neill
Jozsef Csicsvari

Funding

European Research Council 281511Medical Research Council MC_U138197111Medical Research Council MC_UU_12020/7Medical Research Council U138197111
6 · The paper itself

Abstract

In the hippocampus, cell assemblies forming mnemonic representations of space are thought to arise as a result of changes in functional connections of pyramidal cells. We have found that CA1 interneuron circuits are also reconfigured during goal-oriented spatial learning through modification of inputs from pyramidal cells. As learning progressed, new pyramidal assemblies expressed in theta cycles alternated with previously established ones, and eventually overtook them. The firing patterns of interneurons developed a relationship to new, learning-related assemblies: some interneurons associated their activity with new pyramidal assemblies while some others dissociated from them. These firing associations were explained by changes in the weight of monosynaptic inputs received by interneurons from new pyramidal assemblies, as these predicted the associational changes. Spatial learning thus engages circuit modifications in the hippocampus that incorporate a redistribution of inhibitory activity that might assist in the segregation of competing pyramidal cell assembly patterns in space and time.

Indexed as

Nonlinear DynamicsAction PotentialsAnimalsBrain MappingBrain WavesCuesHippocampusInterneuronsLearningMaleMaze LearningModels, NeurologicalNerve NetNeuronal PlasticityProbabilityRats

Identifiers

PMID23523593
PMCPMC3627224

What OpenQuestion holds

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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.