Evidence map›Paper›PMID 27967175›Full record

ArticlePhysical review. E2016

Eigenvalue spectra of large correlated random matrices.

Alexander Kuczala, Tatyana O Sharpee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physical review. E, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Alexander KuczalaComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, California 92037, USA and Department of Physics, University of California, San Diego, California 92161, USA.
Tatyana O SharpeeComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, California 92037, USA and Department of Physics, University of California, San Diego, California 92161, USA.

Funding

Core Grant for Vision ResearchP30EY019005 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI ALBRIGHT, THOMAS D · 2009 to 2018
$7.7M
Neural mechanisms of shape perceptionR01EY019493 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI SHARPEE, TATYANA O. · 2009 to 2013
$2.4M
Training Program In Visual NeuroscienceT32EY020503 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI ALBRIGHT, THOMAS D · 2011 to 2020
$1.5M
NEI NIH HHS P30 EY019005NEI NIH HHS R01 EY019493NEI NIH HHS T32 EY020503
6 · The paper itself

Abstract

Using the diagrammatic method, we derive a set of self-consistent equations that describe eigenvalue distributions of large correlated asymmetric random matrices. The matrix elements can have different variances and be correlated with each other. The analytical results are confirmed by numerical simulations. The results have implications for the dynamics of neural and other biological networks where plasticity induces correlations in the connection strengths within the network. We find that the presence of correlations can have a major impact on network stability.

Identifiers

PMID27967175
PMCPMC5161118

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.