Evidence map›Paper›PMID 28377701›Full record

ArticleFrontiers in systems neuroscience2017

Breaking the Excitation-Inhibition Balance Makes the Cortical Network's Space-Time Dynamics Distinguish Simple Visual Scenes.

Per E Roland, Lars H Bonde, Lars E Forsberg, Michael A Harvey

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. How far neuroscience is from understanding brains.Frontiers in systems neuroscience · 2023
    Article
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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 2 institutions in 2 countries.

Per E RolandFaculty of Health Sciences, Center for Neuroscience, University of Copenhagen Copenhagen, Denmark.
Lars H BondeFaculty of Health Sciences, Center for Neuroscience, University of Copenhagen Copenhagen, Denmark.
Lars E ForsbergFaculty of Health Sciences, Center for Neuroscience, University of Copenhagen Copenhagen, Denmark.
Michael A HarveyDepartment of Physiology, University of Fribourg Fribourg, Switzerland.
University of Copenhagen · DKUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain dynamics are often taken to be temporal dynamics of spiking and membrane potentials in a balanced network. Almost all evidence for a balanced network comes from recordings of cell bodies of few single neurons, neglecting more than 99% of the cortical network. We examined the space-time dynamics of excitation and inhibition simultaneously in dendrites and axons over four visual areas of ferrets exposed to visual scenes with stationary and moving objects. The visual stimuli broke the tight balance between excitation and inhibition such that the network exhibited longer episodes of net excitation subsequently balanced by net inhibition, in contrast to a balanced network. Locally in all four areas the amount of net inhibition matched the amount of net excitation with a delay of 125 ms. The space-time dynamics of excitation-inhibition evolved to reduce the complexity of neuron interactions over the whole network to a flow on a low-(3)-dimensional manifold within 80 ms. In contrast to the pure temporal dynamics, the low dimensional flow evolved to distinguish the simple visual scenes.

Indexed as

balanced networkcerebral cortexdynamical systemsinhibitionmechanics of visionvoltage sensitive dye

Identifiers

PMID28377701
PMCPMC5360108
OpenAlexW2602836487

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.