Evidence map›Paper›PMID 30886010›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Suppressive Traveling Waves Shape Representations of Illusory Motion in Primary Visual Cortex of Awake Primate.

Sandrine Chemla, Alexandre Reynaud, Matteo di Volo, Yann Zerlaut, Laurent Perrinet, Alain Destexhe, Frédéric Chavane

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

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  10. Representing stimulus motion with waves in adaptive neural fields.Journal of computational neuroscience · 2024
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  12. Decomposing Neural Circuit Function into Information Processing Primitives.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  13. Article
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  15. Visual Information Is Predictively Encoded in Occipital Alpha/Low-Beta Oscillations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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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

7 authors at 3 institutions in 1 country.

Sandrine ChemlaInstitut de Neurosciences de la Timone, Unité Mixte de Recherche 7289 Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille Cedex 05, France.ORCID 0000-0002-2451-2268
Alexandre ReynaudInstitut de Neurosciences de la Timone, Unité Mixte de Recherche 7289 Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille Cedex 05, France.ORCID 0000-0002-6537-3575
Matteo di VoloUnité de Neurosciences, Information et Complexité, Centre National de la Recherche Scientifique, 91198 Gif sur Yvette, France, and.
Yann ZerlautUnité de Neurosciences, Information et Complexité, Centre National de la Recherche Scientifique, 91198 Gif sur Yvette, France, and.ORCID 0000-0003-0322-749X
Laurent PerrinetInstitut de Neurosciences de la Timone, Unité Mixte de Recherche 7289 Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille Cedex 05, France.ORCID 0000-0002-9536-010X
Alain DestexheUnité de Neurosciences, Information et Complexité, Centre National de la Recherche Scientifique, 91198 Gif sur Yvette, France, and.ORCID 0000-0001-7405-0455
Frédéric ChavaneInstitut de Neurosciences de la Timone, Unité Mixte de Recherche 7289 Centre National de la Recherche Scientifique and Aix-Marseille Université, 13385 Marseille Cedex 05, France, frederic.chavane@univ-amu.fr.ORCID 0000-0001-7916-2640
Aix-Marseille Université · FRUnit of Neuroscience Information and Complexity · FRInstitut de Psychiatrie et Neurosciences de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How does the brain link visual stimuli across space and time? Visual illusions provide an experimental paradigm to study these processes. When two stationary dots are flashed in close spatial and temporal succession, human observers experience a percept of apparent motion. Large spatiotemporal separation challenges the visual system to keep track of object identity along the apparent motion path, the so-called "correspondence problem." Here, we use voltage-sensitive dye imaging in primary visual cortex (V1) of awake monkeys to show that intracortical connections within V1 can solve this issue by shaping cortical dynamics to represent the illusory motion. We find that the appearance of the second stimulus in V1 creates a systematic suppressive wave traveling toward the retinotopic representation of the first. Using a computational model, we show that the suppressive wave is the emergent property of a recurrent gain control fed by the intracortical network. This suppressive wave acts to explain away ambiguous correspondence problems and contributes to precisely encode the expected motion velocity at the surface of V1. Together, these results demonstrate that the nonlinear dynamics within retinotopic maps can shape cortical representations of illusory motion. Understanding these dynamics will shed light on how the brain links sensory stimuli across space and time, by preformatting population responses for a straightforward read-out by downstream areas.

Indexed as

Models, NeurologicalAnimalsComputer SimulationIllusionsMacaca mulattaMaleMotion PerceptionPhotic StimulationVisual CortexVisual PathwaysWakefulnessapparent motionawake monkeyintracortical interactionsnonlinear processingtraveling wavesvoltage-sensitive dye imaging

Identifiers

PMID30886010
PMCPMC6538863
OpenAlexW2924361796

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.