Evidence map›Paper›PMID 30337480›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Mechanisms underlying contrast-dependent orientation selectivity in mouse V1.

Wei P Dai, Douglas Zhou, David W McLaughlin, David Cai

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In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Dendritic computations captured by an effective point neuron model.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Wei P DaiSchool of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China.
Douglas ZhouInstitute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China; david.mclaughlin@nyu.edu zdz@sjtu.edu.cn.
David W McLaughlinCourant Institute of Mathematical Sciences, New York University, New York, NY 10012; david.mclaughlin@nyu.edu zdz@sjtu.edu.cn.
David CaiInstitute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments have shown that mouse primary visual cortex (V1) is very different from that of cat or monkey, including response properties-one of which is that contrast invariance in the orientation selectivity (OS) of the neurons' firing rates is replaced in mouse with contrast-dependent sharpening (broadening) of OS in excitatory (inhibitory) neurons. These differences indicate a different circuit design for mouse V1 than that of cat or monkey. Here we develop a large-scale computational model of an effective input layer of mouse V1. Constrained by experiment data, the model successfully reproduces experimentally observed response properties-for example, distributions of firing rates, orientation tuning widths, and response modulations of simple and complex neurons, including the contrast dependence of orientation tuning curves. Analysis of the model shows that strong feedback inhibition and strong orientation-preferential cortical excitation to the excitatory population are the predominant mechanisms underlying the contrast-sharpening of OS in excitatory neurons, while the contrast-broadening of OS in inhibitory neurons results from a strong but nonpreferential cortical excitation to these inhibitory neurons, with the resulting contrast-broadened inhibition producing a secondary enhancement on the contrast-sharpened OS of excitatory neurons. Finally, based on these mechanisms, we show that adjusting the detailed balances between the predominant mechanisms can lead to contrast invariance-providing insights for future studies on contrast dependence (invariance).

Indexed as

Models, NeurologicalAction PotentialsAnimalsCatsContrast SensitivityFeedback, SensoryHaplorhiniMiceNeuronsOrientationSpecies SpecificityVisual Cortexcontrast dependencecontrast invarianceorientation selectivity

Identifiers

PMID30337480
PMCPMC6233123

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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.