Evidence map›Paper›PMID 34321313›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021

An Anatomically Constrained Model of V1 Simple Cells Predicts the Coexistence of Push-Pull and Broad Inhibition.

M Morgan Taylor, Diego Contreras, Alain Destexhe, Yves Frégnac, Jan Antolik

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 3 countries.

M Morgan TaylorDepartment of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104.
Diego ContrerasDepartment of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104.
Alain DestexheInstitute of Neuroscience (Paris-Saclay Institute of Neuroscience, Unit of Neuroscience, Information, and Complexity), Paris-Saclay University, Centre National de la Recherche Scientifique, 91198 Gif-sur-Yvette, France.ORCID 0000-0001-7405-0455
Yves FrégnacInstitute of Neuroscience (Paris-Saclay Institute of Neuroscience, Unit of Neuroscience, Information, and Complexity), Paris-Saclay University, Centre National de la Recherche Scientifique, 91198 Gif-sur-Yvette, France.
Jan AntolikFaculty of Mathematics and Physics, Charles University, 11800 Prague, Czech Republic antolik@ksvi.mff.cuni.cz.ORCID 0000-0002-7223-4426
California University of Pennsylvania · USUniversité Paris-Saclay · FRCharles University · CZ

Funding

RESEARCH ON NORMAL AND ABNORMAL MECHANISMS OF VISIONST32EY007035 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Diego Contreras, Jessica I.W. Morgan · 1985 to 2026
$4.9M
Synaptic Organization of Simple Cell Receptive FieldsR01EY027205 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CONTRERAS, DIEGO · 2017 to 2021
$2.8M
NEI NIH HHS R01 EY027205NEI NIH HHS T32 EY007035
6 · The paper itself

Abstract

The spatial organization and dynamic interactions between excitatory and inhibitory synaptic inputs that define the receptive field (RF) of simple cells in the cat primary visual cortex (V1) still raise the following paradoxical issues: (1) stimulation of simple cells in V1 with drifting gratings supports a wiring schema of spatially segregated sets of excitatory and inhibitory inputs activated in an opponent way by stimulus contrast polarity and (2) in contrast, intracellular studies using flashed bars suggest that although ON and OFF excitatory inputs are indeed segregated, inhibitory inputs span the entire RF regardless of input contrast polarity. Here, we propose a biologically detailed computational model of simple cells embedded in a V1-like network that resolves this seeming contradiction. We varied parametrically the RF-correlation-based bias for excitatory and inhibitory synapses and found that a moderate bias of excitatory neurons to synapse onto other neurons with correlated receptive fields and a weaker bias of inhibitory neurons to synapse onto other neurons with anticorrelated receptive fields can explain the conductance input, the postsynaptic membrane potential, and the spike train dynamics under both stimulation paradigms. This computational study shows that the same structural model can reproduce the functional diversity of visual processing observed during different visual contexts.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCatsNeural InhibitionNeuronsSynapsesSynaptic TransmissionVisual CortexVisual PathwaysVisual Perceptioncircuitsconductance analysiscortexprimary visual cortexpush–pullspiking model

Identifiers

PMID34321313
PMCPMC8445056
OpenAlexW3184849874

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.