Mitigating age-related stereo decline with perceptual training.

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Paper

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The authors' code

MATLAB · 21 lines · 391 B · CC-BY-4.0

function [correctness] = AnalyzeResponse(order, answer, depthorder)
%OUTPUT
%incorrect = 0; correct = 1
%0 = first interval (39)
%1 = second interval (38)
if depthorder == 1 %near
if answer == 38
correctness = 1;
else
correctness = 0;
end
else %far
if answer == 40
correctness = 1;
else
correctness = 0;
end
end

AnalyzeResponseCD.m, under CC-BY-4.0 · at the source

Overview

Authors: Ka Yee Kam¹, Leo C.H. Ng², Dorita H.F. Chang¹

ORCID iDs: Ka Yee Kam

Institutions: University of Hong Kong (Hong Kong SAR China); Chinese University of Hong Kong (Hong Kong SAR China)

Journal: iScience, volume 29, issue 4, article 115485

Dates: received 21 November 2025; accepted 23 March 2026; published online 26 March 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1016/j.isci.2026.115485 · PMID 42006323 · PMCID PMC13091413 · OpenAlex W7140664313

Open access: gold, a free copy (OpenAlex)

Status: code verified (how the code is found and verified)

Categories: human (organism), cognitive (subfield)

Methods: Statistics, Machine learning, Connectivity, Smoothing, state filtering, decompositions

Keywords: health sciences, medicine, medical specialty, neurology, neuroscience, clinical neuroscience

Topic: Visual perception and processing mechanisms (Cognitive Neuroscience, Neuroscience), according to OpenAlex

Funding: General Research Fund (17612621); University Grants Committee

Citations: not cited yet (Europe PMC); 78 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repository

Its files are read in the Code ↔ Paper reader above.

Zenodo 18414906

License: CC-BY-4.0

State: the link answers, verified on 30 September 2026

Evidence: files inventoried

Size: 1 file

Software Heritage: not checked

Found in: “Data and code availability”

Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation

Tools: Psychtoolbox (8 files), Statistics and Machine Learning Toolbox (3 files)

Availability: 1 check, the latest on 30 September 2026: the link answers (HTTP 200)

30 September 2026: the link answers (HTTP 200)

19 files

AnalyzeResponseCD.m, MATLAB, 21 lines
AnalyzeResponseFD.m, MATLAB, 21 lines
CreateData.m, MATLAB, 54 lines
CreateQuest.m, MATLAB, 1 line
Depth.m, MATLAB, 170 lines
DrawFixation.m, MATLAB, 37 lines
GetParams_CoarseDepth.m, MATLAB, 38 lines
GetParams_FineDepth.m, MATLAB, 38 lines
OpenWindow.m, MATLAB, 60 lines
PlayBeep.m, MATLAB, 27 lines
PresentStimulus_Coarse.m, MATLAB, 465 lines
PresentStimulus_Fine.m, MATLAB, 433 lines
RunExperiment_Coarse.m, MATLAB, 293 lines
RunExperiment_Fine.m, MATLAB, 350 lines
UpdateData.m, MATLAB, 23 lines
angle2pix.m, MATLAB, 39 lines
get_key.m, MATLAB, 57 lines
pix2angle.m, MATLAB, 35 lines
README.md, Text, 9 lines

At the source: doi.org/10.5281/zenodo.18414906

The paper's code and data availability statement is in the Data section.

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;
18 scripts, each with its path and the digest of its content;
no match between paragraphs and code yet;
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.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

it points to the authors' code: Zenodo 18414906
it says that the data are available on request
it says that the code is available on request

Read it in the paper: doi.org/10.1016/j.isci.2026.115485.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 6 keywords, 2 funders, 77 references.

Cite

This paper

Kam, K. Y., Ng, L. C., & Chang, D. H. (2026). Mitigating age-related stereo decline with perceptual training. iScience, 29(4), 115485. https://doi.org/10.1016/j.isci.2026.115485

BibTeX

@article{kam2026mitigating, author = {Kam, Ka Yee and Ng, Leo C.H. and Chang, Dorita H.F.}, title = {{Mitigating age-related stereo decline with perceptual training}}, journal = {iScience}, year = {2026}, month = mar, volume = {29}, number = {4}, pages = {115485}, publisher = {Elsevier}, issn = {2589-0042}, doi = {10.1016/j.isci.2026.115485}, url = {https://doi.org/10.1016/j.isci.2026.115485}, pmid = {42006323}, pmcid = {PMC13091413} }

RIS

TY - JOUR AU - Kam, Ka Yee AU - Ng, Leo C.H. AU - Chang, Dorita H.F. TI - Mitigating age-related stereo decline with perceptual training T2 - iScience J2 - iScience PY - 2026 DA - 2026/03/26 VL - 29 IS - 4 SP - 115485 SN - 2589-0042 PB - Elsevier DO - 10.1016/j.isci.2026.115485 UR - https://doi.org/10.1016/j.isci.2026.115485 LA - en ER -

CSL-JSON

{ "id": "10.1016/j.isci.2026.115485", "type": "article-journal", "title": "Mitigating age-related stereo decline with perceptual training", "container-title": "iScience", "author": [ { "family": "Kam", "given": "Ka Yee" }, { "family": "Ng", "given": "Leo C.H." }, { "family": "Chang", "given": "Dorita H.F." } ], "container-title-short": "iScience", "volume": "29", "issue": "4", "page": "115485", "DOI": "10.1016/j.isci.2026.115485", "PMID": "42006323", "PMCID": "PMC13091413", "ISSN": "2589-0042", "publisher": "Elsevier", "URL": "https://doi.org/10.1016/j.isci.2026.115485", "language": "en", "issued": { "date-parts": [ [ 2026, 3, 26 ] ] } }

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