Evidence map›Paper›PMID 31410375›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2019

Replays of spatial memories suppress topological fluctuations in cognitive map.

Andrey Babichev, Dmitriy Morozov, Yuri Dabaghian

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2019. 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
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026
    Article
  2. Article
  3. Pattern dynamics and stochasticity of the brain rhythms.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
  6. Optimism and pessimism in optimised replay.PLoS computational biology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Editorial: Topological Neuroscience.Network neuroscience (Cambridge, Mass.) · 2019
    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

3 authors at 2 institutions in 1 country.

Andrey BabichevDepartment of Computational and Applied Mathematics, Rice University, Houston, TX, USA.
Dmitriy MorozovLawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID https://orcid.org/0000-0002-4330-6670
Yuri DabaghianDepartment of Computational and Applied Mathematics, Rice University, Houston, TX, USA.ORCID 0000-0002-0272-7284
Rice University · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spiking activity of the hippocampal place cells plays a key role in producing and sustaining an internalized representation of the ambient space-a cognitive map. These cells do not only exhibit location-specific spiking during navigation, but also may rapidly replay the navigated routs through endogenous dynamics of the hippocampal network. Physiologically, such reactivations are viewed as manifestations of "memory replays" that help to learn new information and to consolidate previously acquired memories by reinforcing synapses in the parahippocampal networks. Below we propose a computational model of these processes that allows assessing the effect of replays on acquiring a robust topological map of the environment and demonstrate that replays may play a key role in stabilizing the hippocampal representation of space.

Indexed as

Hippocampal replaysLearning and memoryTransient networksZigzag homology theory

Identifiers

PMID31410375
PMCPMC6663216
OpenAlexW2963317713

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.