OSCR

The neural processes of illusory occlusion in object recognition.

Code ↔ Paper

5 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 5 matches
  1. [1] § Methods › EEG recording and preprocessing ↔ eeg/data/functions.py, lines 30–175 · score 0.96 · low pass filter, 100–800 ms, raw EEG, MNE, stimulus onset, BioSemi
  2. [2] § Methods › EEG decoding analyses ↔ eeg/data/functions.py, lines 183–307 · score 0.66 · cross validation, linear discriminant, classifier, sequences, EEG, decoding
  3. [3] § Methods › Online behavioral experiments ↔ online/experiment1/experiment.js, lines 68–146 · score 0.54 · Western Sydney University, online, consent, behavioral experiments, Pavlovia, SONA
  4. [4] § Methods › EEG experiment ↔ online/experiment1/experiment.js, lines 68–146 · score 0.50 · Western Sydney University, consent, behavioral experiments, epilepsy, history, SONA
  5. [5] § Methods › EEG experiment ↔ online/experiment2/experiment.js, lines 123–178 · score 0.50 · Western Sydney University, consent, behavioral experiments, epilepsy, history, SONA

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Python · 400 lines · 15 KB · no license · 2 matches

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It can be read at the source: eeg/data/functions.py.

Overview

Authors: Almudena Ramírez-Haro1, Denise Moerel1, Genevieve L Quek1, Manuel Varlet1,2, Tijl Grootswagers1,3
ORCID iDs: Almudena Ramírez-Haro, Denise Moerel, Genevieve L Quek, Manuel Varlet, Tijl Grootswagers
  1. The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia
  2. School of Psychology, Western Sydney University, Sydney, Australia
  3. School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia
Institutions: Western Sydney University (Australia)
Journal: Journal of vision, volume 26, issue 8, article 4
Dates: received 29 May 2025; accepted 26 May 2026; published online 19 August 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1167/jov.26.8.4 · PMID 42615796 · PMCID PMC13505799 · OpenAlex W4410858712
Open access: gold, a free copy (OpenAlex)
Preprint: doi:10.1101/2025.05.28.656741
Status: code verified
Categories: EEG (modality), human (organism), cognitive (subfield)
Methods: Machine learning, Preprocessing, Statistics
Keywords: kanizsa, occlusion, EEG
MeSH: Form Perception*, Illusions*, Optical Illusions*, Pattern Recognition, Visual*, Recognition, Psychology*, Electroencephalography, Female, Humans, Male, Photic Stimulation (* major topic)
Topic: Advanced Scientific Research Methods (Food Science, Agricultural and Biological Sciences), according to OpenAlex
Funding: Australian Government (doi.org/10.82133/C42F-K220, https://doi.org/10.82133/C42F-K220, /10.82133/C42F-K220)
Citations: not cited yet (Europe PMC); 77 references in the paper

Abstract

Fast and accurate object recognition is crucial for effective behavior in dynamic visual environments. In some cases, the visual system must overcome ambiguity in visual input during object recognition, such as when an object is partially hidden behind another. Recurrent processing between higher- and lower-order areas is thought to play a role in resolving such ambiguity, enabling the filling in of missing visual information. Here we examined this claim using a novel paradigm in which partial object images appear “occluded” by an illusory Kanizsa figure, perception of which also depends on recurrent processing by the grouping of Pacmen inducers. If both recognizing the partial object and perceiving the illusory shape depend on recurrent processing, object recognition should vary as a function of the presence of illusory shape. Across two behavioral experiments and a separate electroencephalography decoding study, we found no evidence of an interaction between illusion perception and object recognition, as well as different neural time courses for the illusory figures alone compared with partial objects, which were decoded earlier. Ultimately, our study highlights the robustness of the visual system to solve the identity of the ambiguous object, independently of the processing of different ambiguities occurring at the same time, providing new insights into the mechanisms of recurrence in the early and late stages of information processing and its application to ambiguous object recognition.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 5 matches between paragraphs and lines of code.

OSF x6fv9

License: none: the authors keep all their rights
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Languages: JavaScript (6), Python (3), R (2), Jupyter (2)
Size: 239 files, 13 scripts
Software Heritage: not checked
Found in: the acknowledgements
Holds: environment (requirements.txt), 2 notebooks
Not found: README, license file, CITATION.cff, tests, continuous integration, documentation
Tools: pandas (3 files), BayesFactor (2 files), ggplot2 (2 files), jsPsych (2 files), Matplotlib (2 files), NumPy (2 files), PsychoPy (2 files), tidyverse (2 files), MNE-Python (1 file), scikit-learn (1 file), SciPy (1 file), seaborn (1 file)
Availability: 1 check, the latest on 26 September 2026: the link answers (HTTP 200)
  • 26 September 2026: the link answers (HTTP 200)
13 files, to read at the source

This repository has no license: its authors keep all rights. Read it at the source.

At the source: osf.io/x6fv9/

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 13 scripts, each with its path and the digest of its content;
  • 5 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Versions

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Version 3, 28 September 2026

  • Authors: added Almudena Ramírez-Haro (0009-0005-5659-9694); Denise Moerel (0000-0001-9677-0170); Genevieve L Quek (0000-0002-5905-8405); Manuel Varlet (0000-0001-5772-2061); Tijl Grootswagers (0000-0002-7961-5002); removed Almudena Ramírez-Haro; Denise Moerel; Genevieve L Quek; Manuel Varlet; Tijl Grootswagers
  • Funding: added Australian Government: doi.org/10.82133/C42F-K220, https://doi.org/10.82133/C42F-K220, /10.82133/C42F-K220

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 3 keywords, 10 MeSH terms, 74 references.

Cite

This paper

Ramírez-Haro, A., Moerel, D., Quek, G. L., Varlet, M., & Grootswagers, T. (2026). The neural processes of illusory occlusion in object recognition. Journal of vision, 26(8), 4. https://doi.org/10.1167/jov.26.8.4

BibTeX

@article{ramirezharo2026neural,
author = {Ramírez-Haro, Almudena and Moerel, Denise and Quek, Genevieve L and Varlet, Manuel and Grootswagers, Tijl},
title = {{The neural processes of illusory occlusion in object recognition}},
journal = {Journal of vision},
year = {2026},
month = aug,
volume = {26},
number = {8},
pages = {4},
publisher = {Association for Research in Vision and Ophthalmology},
issn = {1534-7362},
doi = {10.1167/jov.26.8.4},
url = {https://doi.org/10.1167/jov.26.8.4},
pmid = {42615796},
pmcid = {PMC13505799}
}

RIS

TY - JOUR
AU - Ramírez-Haro, Almudena
AU - Moerel, Denise
AU - Quek, Genevieve L
AU - Varlet, Manuel
AU - Grootswagers, Tijl
TI - The neural processes of illusory occlusion in object recognition
T2 - Journal of vision
J2 - J Vis
PY - 2026
DA - 2026/08/01
VL - 26
IS - 8
SP - 4
SN - 1534-7362
PB - Association for Research in Vision and Ophthalmology
DO - 10.1167/jov.26.8.4
UR - https://doi.org/10.1167/jov.26.8.4
LA - en
ER -

CSL-JSON

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