Evidence map›Paper›PMID 33208472›Full record

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

A Gradient of Sharpening Effects by Perceptual Prior across the Human Cortical Hierarchy.

Carlos González-García, Biyu J He

Abstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Determinants of visual ambiguity resolution.Communications psychology · 2026
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  13. One-trial perceptual learning in the absence of conscious remembering and independent of the medial temporal lobe.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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.

Carlos González-GarcíaDepartment of Experimental Psychology, Ghent University, Ghent, B-9000, Belgium.ORCID 0000-0001-6627-5777
Biyu J HeNeuroscience Institute, New York University Langone Medical Center, New York, New York 10016 biyu.jade.he@gmail.com.ORCID 0000-0003-1549-1351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior knowledge profoundly influences perceptual processing. Previous studies have revealed consistent suppression of predicted stimulus information in sensory areas, but how prior knowledge modulates processing higher up in the cortical hierarchy remains poorly understood. In addition, the mechanism leading to suppression of predicted sensory information remains unclear, and studies thus far have revealed a mixed pattern of results in support of either the "sharpening" or "dampening" model. Here, using 7T fMRI in humans (both sexes), we observed that prior knowledge acquired from fast, one-shot perceptual learning sharpens neural representation throughout the ventral visual stream, generating suppressed sensory responses. In contrast, the frontoparietal and default mode networks exhibit similar sharpening of content-specific neural representation, but in the context of unchanged and enhanced activity magnitudes, respectively: a pattern we refer to as "selective enhancement." Together, these results reveal a heretofore unknown macroscopic gradient of prior knowledge's sharpening effect on neural representations across the cortical hierarchy.

Indexed as

AdultBrain MappingFemaleFrontal LobeHumansLearningMagnetic Resonance ImagingMaleMental ProcessesModels, NeurologicalParietal LobePhotic StimulationVisual CortexVisual PathwaysVisual PerceptionYoung Adult7T fMRIdefault mode networkfrontoparietal networkperceptual priorsharpeningvisual perception

Identifiers

PMID33208472
PMCPMC7786209

What OpenQuestion holds

Textmetadata
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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.