Evidence map›Paper›PMID 39199448›Full record

ArticleBrain sciences2024

Neural Substrates for Early Data Reduction in Fast Vision: A Psychophysical Investigation.

Serena Castellotti, Maria Michela Del Viva

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Serena CastellottiDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-8886-7861
Maria Michela Del VivaDepartment of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50135 Florence, Italy.ORCID 0000-0001-6332-4959

Funding

European Research Council 832813European Union 2022CCPJ3J
6 · The paper itself

Abstract

To ensure survival, the visual system must rapidly extract the most important elements from a large stream of information. This necessity clashes with the computational limitations of the human brain, so a strong early data reduction is required to efficiently process information in fast vision. A theoretical early vision model, recently developed to preserve maximum information using minimal computational resources, allows efficient image data reduction by extracting simplified

Indexed as

constrained maximum entropycontrast sensitivityearly feature extractionfast visionflicker adaptationmagnocellular pathwaypsychophysicsvisual data reductionvisual saliencyvisual sketches

Identifiers

PMID39199448
PMCPMC11352587

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.