Evidence map›Paper›PMID 23970864›Full record

ArticleFrontiers in computational neuroscience2013

Impact of neuronal heterogeneity on correlated colored noise-induced synchronization.

Pengcheng Zhou, Shawn D Burton, Nathaniel N Urban, G Bard Ermentrout

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep brain stimulation in the subthalamic nucleus for Parkinson's disease can restore dynamics of striatal networks.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Neurons as oscillators.Journal of neurophysiology · 2016
    Review
  12. Review
  13. Article
  14. Phase-resetting as a tool of information transmission.Current opinion in neurobiology · 2015
    Review
  15. Article
  16. Article
  17. 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.

Pengcheng ZhouProgram in Neural Computation, Carnegie Mellon University Pittsburgh, PA, USA ; Center for the Neural Basis of Cognition Pittsburgh, PA, USA.
Shawn D Burton
Nathaniel N Urban
G Bard Ermentrout

Funding

Interdiscplinary Training in Computational NeuroscienceR90DA023426 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI KASS, ROBERT E, RUBIN, JONATHAN E. · 2006 to 2020
$4.5M
INTERDISCIPLINARY TRAINING IN COMPUTATIONAL NEUROSCIENCET90DA022762 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI KASS, ROBERT E, RUBIN, JONATHAN E. · 2006 to 2020
$2.0M
PHYSIOLOGICAL AND COMPUTATIONAL APPROACHES TO UNDERSTANDING NEURONAL SYNCHRONIZATR01DC011184 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI URBAN, NATHAN NEAL · 2010 to 2014
$1.5M
NIDA NIH HHS R90 DA023426NIDA NIH HHS T90 DA022762NIDCD NIH HHS R01 DC011184
6 · The paper itself

Abstract

Synchronization plays an important role in neural signal processing and transmission. Many hypotheses have been proposed to explain the origin of neural synchronization. In recent years, correlated noise-induced synchronization has received support from many theoretical and experimental studies. However, many of these prior studies have assumed that neurons have identical biophysical properties and that their inputs are well modeled by white noise. In this context, we use colored noise to induce synchronization between oscillators with heterogeneity in both phase-response curves and frequencies. In the low noise limit, we derive novel analytical theory showing that the time constant of colored noise influences correlated noise-induced synchronization and that oscillator heterogeneity can limit synchronization. Surprisingly, however, heterogeneous oscillators may synchronize better than homogeneous oscillators given low input correlations. We also find resonance of oscillator synchronization to colored noise inputs when firing frequencies diverge. Collectively, these results prove robust for both relatively high noise regimes and when applied to biophysically realistic spiking neuron models, and further match experimental recordings from acute brain slices.

Indexed as

colored noisecorrelationheterogeneityneural oscillatorsphase-response curvesynchrony

Identifiers

PMID23970864
PMCPMC3748396

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Registered trials

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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.