Evidence map›Paper›PMID 22782801›Full record

ArticleJournal of computational neuroscience2013

Inhibition enhances memory capacity: optimal feedback, transient replay and oscillations.

Axel Kammerer, Alvaro Tejero-Cantero, Christian Leibold

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Memory replay in balanced recurrent networks.PLoS computational biology · 2017
    Article
  2. Article
  3. Article
  4. Article
  5. A computational model for preplay in the hippocampus.Frontiers in computational neuroscience · 2013
    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.

Axel KammererDepartment Biologie II, Ludwig-Maximilians University Munich, Großhadernerstrasse 2, 82152 Planegg, Germany. kammerer@bio.lmu.de
Alvaro Tejero-Cantero
Christian Leibold
Ludwig-Maximilians-Universität München · DEBernstein Center for Computational Neuroscience Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurring sequences of neuronal activation in the hippocampus are a candidate for a neurophysiological correlate of episodic memory. Here, we discuss a mean-field theory for such spike sequences in phase space and show how they become unstable when the neuronal network operates at maximum memory capacity. We find that inhibitory feedback rescues replay of the sequences, giving rise to oscillations and thereby enhancing the network's capacity. We further argue that transient sequences in an overloaded network with feedback inhibition may provide a mechanistic picture of memory-related neuronal activity during hippocampal sharp-wave ripple complexes.

Indexed as

Models, NeurologicalAction PotentialsAnimalsBiological ClocksFeedback, PhysiologicalHippocampusHumansMemoryNeural InhibitionNeuronsNonlinear Dynamics

Identifiers

PMID22782801
OpenAlexW2102416636

What OpenQuestion holds

Textmetadata
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.