Evidence map›Paper›PMID 20237274›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010

Searching for autocoherence in the cortical network with a time-frequency analysis of the local field potential.

Samuel P Burns, Dajun Xing, Michael J Shelley, Robert M Shapley

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

40 citing papers in PubMed, 70 citations in OpenAlex.

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  8. Site-dependent shaping of field potential waveforms.Cerebral cortex (New York, N.Y. : 1991) · 2023
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  9. Review
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  14. A recurrent circuit implements normalization, simulating the dynamics of V1 activity.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Excitatory/Inhibitory Responses Shape Coherent Neuronal Dynamics Driven by Optogenetic Stimulation in the Primate Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
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  18. Review
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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 at 1 institution in 1 country.

Samuel P BurnsCourant Institute of Mathematical Sciences and Center for Neural Science, New York University, New York, NY 10003, USA. sburns@cims.nyu.edu
Dajun Xing
Michael J Shelley
Robert M Shapley
New York University · US

Funding

SPATIAL SUMMATION AND DYNAMICS OF VISUAL NEURONSR01EY001472 · NEI · ROCKEFELLER UNIVERSITY · PI SHAPLEY, ROBERT M · 1985 to 2011
$4.1M
COMPUTATIONAL VISUAL NEUROSCIENCE TRAINING PROGRAMT32EY007158 · NEI · NEW YORK UNIVERSITY · PI SHAPLEY, ROBERT M · 2001 to 2010
$1.4M
NEI NIH HHS R01 EY001472NEI NIH HHS R01 EY-01472NEI NIH HHS T32 EY007158NEI NIH HHS T32-EY007158
6 · The paper itself

Abstract

Gamma-band peaks in the power spectrum of local field potentials (LFP) are found in multiple brain regions. It has been theorized that gamma oscillations may serve as a 'clock' signal for the purposes of precise temporal encoding of information and 'binding' of stimulus features across regions of the brain. Neurons in model networks may exhibit periodic spike firing or synchronized membrane potentials that give rise to a gamma-band oscillation that could operate as a 'clock'. The phase of the oscillation in such models is conserved over the length of the stimulus. We define these types of oscillations to be 'autocoherent'. We investigated the hypothesis that autocoherent oscillations are the basis of the experimentally observed gamma-band peaks: the autocoherent oscillator (ACO) hypothesis. To test the ACO hypothesis, we developed a new technique to analyze the autocoherence of a time-varying signal. This analysis used the continuous Gabor transform to examine the time evolution of the phase of each frequency component in the power spectrum. Using this analysis method, we formulated a statistical test to compare the ACO hypothesis with measurements of the LFP in macaque primary visual cortex, V1. The experimental data were not consistent with the ACO hypothesis. Gamma-band activity recorded in V1 did not have the properties of a 'clock' signal during visual stimulation. We propose instead that the source of the gamma-band spectral peak is the resonant V1 network driven by random inputs.

Indexed as

AnimalsBiological ClocksMacaca fascicularisNerve NetPhotic StimulationTime FactorsVisual Cortex

Identifiers

PMID20237274
PMCPMC2897248
OpenAlexW2065679124

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.