Evidence map›Paper›PMID 30120205›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Rhythm and Synchrony in a Cortical Network Model.

Logan Chariker, Robert Shapley, Lai-Sang Young

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Delayed Accumulation of Inhibitory Input Explains Gamma Frequency Variation with Changing Contrast in an Inhibition Stabilized Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Firing rate models for gamma oscillations in I-I and E-I networks.Journal of computational neuroscience · 2024
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  9. Review
  10. A Computational Model of Direction Selectivity in Macaque V1 Cortex Based on Dynamic Differences between On and Off Pathways.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  15. Extensive Structural Remodeling of the Axonal Arbors of Parvalbumin Basket Cells during Development in Mouse Neocortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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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

3 authors at 1 institution in 1 country.

Logan CharikerCenter for Neural Science, New York University, New York, New York 10003, and.ORCID 0000-0002-0684-0137
Robert ShapleyCenter for Neural Science, New York University, New York, New York 10003, and.
Lai-Sang YoungCenter for Neural Science, New York University, New York, New York 10003, and lsy@cims.nyu.edu.ORCID 0000-0003-3257-1134
Courant Institute of Mathematical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied mechanisms for cortical gamma-band activity in the cerebral cortex and identified neurobiological factors that affect such activity. This was done by analyzing the behavior of a previously developed, data-driven, large-scale network model that simulated many visual functions of monkey V1 cortex (Chariker et al., 2016). Gamma activity was an emergent property of the model. The model's gamma activity, like that of the real cortex, was (1) episodic, (2) variable in frequency and phase, and (3) graded in power with stimulus variables like orientation. The spike firing of the model's neuronal population was only partially synchronous during multiple firing events (MFEs) that occurred at gamma rates. Detailed analysis of the model's MFEs showed that gamma-band activity was multidimensional in its sources. Most spikes were evoked by excitatory inputs. A large fraction of these inputs came from recurrent excitation within the local circuit, but feedforward and feedback excitation also contributed, either through direct pulsing or by raising the overall baseline. Inhibition was responsible for ending MFEs, but disinhibition led directly to only a small minority of the synchronized spikes. As a potential explanation for the wide range of gamma characteristics observed in different parts of cortex, we found that the relative rise times of AMPA and GABA synaptic conductances have a strong effect on the degree of synchrony in gamma.

Indexed as

Cortical SynchronizationGamma RhythmModels, NeurologicalAction PotentialsAnimalsComputer SimulationHumansMacacaNeuronsVisual Cortexcerebral cortexcomputational modelgamma-bandsynchrony

Identifiers

PMID30120205
PMCPMC6596228
OpenAlexW2885959726

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.