Evidence map›Paper›PMID 36278674›Full record

ArticleVision (Basel, Switzerland)2022

Reliable, Fast and Stable Contrast Response Function Estimation.

Nelson Cortes, Marc Demers, Visou Ady, Lamyae Ikan, Christian Casanova

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nelson CortesVisual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Marc DemersVisual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Visou AdyVisual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Lamyae IkanVisual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.
Christian CasanovaVisual Neuroscience Laboratory, School of Optometry, Université de Montréal, Montreal, QC H3C 3J7, Canada.ORCID 0000-0002-1494-8391

Funding

CIHR PJT-148959Natural Sciences and Engineering Research Council RGPIN-2019-04982
6 · The paper itself

Abstract

A study was conducted to determine stable cortical contrast response functions (CRFs) accurately and repeatedly in the shortest possible experimentation time. The method consisted of searching for experimental temporal aspects (number and duration of trials and number and distribution of contrasts used) with a model based on inhomogeneous Poisson spike trains to varying contrast levels. The set of values providing both short experimental duration and maximizing fit of the CRFs were saved, and then tested on cats' visual cortical neurons. Our analysis revealed that 4 sets of parameters with less or equal to 6 experimental visual contrasts satisfied our premise of obtaining good CRFs' performance in a short recording period, in which the number of trials seems to be the experimental condition that stabilizes the fit.

Indexed as

contrast response functionNaka Rushton equationstatistical curve fittingvisual cortical neurons

Identifiers

PMID36278674
PMCPMC9589942

What OpenQuestion holds

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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.