Evidence map›Paper›PMID 35115676›Full record

ArticleNature human behaviour2022

Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks.

Ning Mei, Roberto Santana, David Soto

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2022. 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Hierarchical Organization of Human Visual Feature Attention Control.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Eye-Movement Suppression in the Visual World Paradigm.Open mind : discoveries in cognitive science · 2024
    Article
  10. Article
  11. Dissociable rhythmic mechanisms enhance memory for conscious and nonconscious perceptual contents.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ning MeiBasque Center on Cognition, Brain and Language, San Sebastian, Spain. n.mei@bcbl.eu.
Roberto SantanaComputer Science and Artificial Intelligence Department, University of Basque Country, San Sebastian, Spain.ORCID http://orcid.org/0000-0002-1005-8535
David SotoBasque Center on Cognition, Brain and Language, San Sebastian, Spain. d.soto@bcbl.eu.ORCID http://orcid.org/0000-0003-0205-7513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A framework to pinpoint the scope of unconscious processing is critical to improve models of visual consciousness. Previous research observed brain signatures of unconscious processing in visual cortex, but these were not reliably identified. Further, whether unconscious contents are represented in high-level stages of the ventral visual stream and linked parieto-frontal areas remains unknown. Using a within-subject, high-precision functional magnetic resonance imaging approach, we show that unconscious contents can be decoded from multi-voxel patterns that are highly distributed alongside the ventral visual pathway and also involving parieto-frontal substrates. Classifiers trained with multi-voxel patterns of conscious items generalized to predict the unconscious counterparts, indicating that their neural representations overlap. These findings suggest revisions to models of consciousness such as the neuronal global workspace. We then provide a computational simulation of visual processing/representation without perceptual sensitivity by using deep neural networks performing a similar visual task. The work provides a framework for pinpointing the representation of unconscious knowledge across different task domains.

Indexed as

Visual CortexBrainConsciousnessHumansVisual PathwaysVisual Perception

Identifiers

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.