Evidence map›Paper›PMID 31110195›Full record

ArticleScientific reports2019

Common spatiotemporal processing of visual features shapes object representation.

Paolo Papale, Monica Betta, Giacomo Handjaras, Giulia Malfatti, Luca Cecchetti, Alessandra Rampinini, Pietro Pietrini, Emiliano Ricciardi, Luca Turella, Andrea Leo

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Paolo PapaleMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.ORCID http://orcid.org/0000-0002-6249-841X
Monica BettaMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.
Giacomo HandjarasMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.ORCID http://orcid.org/0000-0001-5677-8434
Giulia MalfattiCenter for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Trento, Italy.
Luca CecchettiMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.ORCID http://orcid.org/0000-0001-5184-6477
Alessandra RampininiMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.ORCID http://orcid.org/0000-0002-3016-5231
Pietro PietriniMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.
Emiliano RicciardiMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy.
Luca TurellaCenter for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Trento, Italy.ORCID http://orcid.org/0000-0003-1096-2150
Andrea LeoMomilab, IMT School for Advanced Studies Lucca, 55100, Lucca, Italy. andrea.leo@imtlucca.it.ORCID http://orcid.org/0000-0002-1948-6608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into coherent percepts is still debated. Moreover, these dimensions often share common biases: for instance, stimuli from the same category (e.g., tools) may have similar shapes. Here, using magnetoencephalography, we revealed the temporal dynamics of feature processing in human subjects attending to objects from six semantic categories. By employing Relative Weights Analysis, we mitigated collinearity between model-based descriptions of stimuli and showed that low-level properties (contrast and spatial frequencies), shape (medial-axis) and category are represented within the same spatial locations early in time: 100-150 ms after stimulus onset. This fast and overlapping processing may result from independent parallel computations, with categorical representation emerging later than the onset of low-level feature processing, yet before shape coding. Categorical information is represented both before and after shape, suggesting a role for this feature in the refinement of categorical matching.

Identifiers

PMID31110195
PMCPMC6527710

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Registered trials

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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.