Evidence map›Paper›PMID 30355442›Full record

ArticleeLife2018

Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells.

Panagiota Theodoni, Bernat Rovira, Yingxue Wang, Alex Roxin

Abstract read
In one paragraph

Article in eLife, 2018. 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
–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

14 citing papers in PubMed.

  1. Article
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  11. Review
  12. Unsupervised Learning of Persistent and Sequential Activity.Frontiers in computational neuroscience · 2019
    Article
  13. Article
  14. Article
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

4 authors.

Panagiota TheodoniCentre de Recerca Matemàtica, Bellaterra, Spain.
Bernat RoviraCentre de Recerca Matemàtica, Bellaterra, Spain.
Yingxue WangMax Planck Florida Institute for Neuroscience, Jupiter, United States.
Alex RoxinCentre de Recerca Matemàtica, Bellaterra, Spain.ORCID http://orcid.org/0000-0003-1015-8138

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Place cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal is quiescent or sleeping, one can observe similar sequences of activation known as replay, which underlie the process of memory consolidation. However, it remains unclear how replay is generated. Here we show how a temporally asymmetric plasticity rule during spatial exploration gives rise to spontaneous replay in a model network by shaping the recurrent connectivity to reflect the topology of the learned environment. Crucially, the rate of this encoding is strongly modulated by ongoing rhythms. Oscillations in the theta range optimize learning by generating repeated pre-post pairings on a time-scale commensurate with the window for plasticity, while lower and higher frequencies generate learning rates which are lower by orders of magnitude.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputer SimulationLinear ModelsNerve NetNeuronal PlasticityRatsTheta RhythmTime Factorshippocampusnetwork modelneuroscienceplace cellsplasticityratreplaytheta oscillation

Identifiers

PMID30355442
PMCPMC6224194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.