OSCR

Signal combination in flutter vibration perception.

Code ↔ Paper

6 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 6 matches
  1. [1] § Results › Summation and suppression effects on flutter thresholds ↔ TestVersion.qmd, lines 1527–1646 · score 1.00 · approximately parallel handles, Greenhouse Geisser corrected, probability summation instead, 0.5–2 %, baseline stimuli vibrated, cumulative Gaussians
  2. [2] § Results › Summation and suppression of neural responses ↔ TestVersion.qmd, lines 1527–1646 · score 0.99 · perfect linear summation, Greenhouse Geisser corrected, sub linear summation, EEG amplitudes increased, high baseline response, Responses increased monotonically
  3. [3] § Results › Summation and suppression of neural responses ↔ vibrosummanuscript.qmd, lines 1470–1552 · score 0.98 · Greenhouse Geisser corrected, sub linear summation, EEG amplitudes increased, high baseline response, 32–64 %, increased monotonically
  4. [4] § Results › Computational modelling results ↔ vibrosummanuscript.qmd, lines 1470–1552 · score 0.98 · directly tap mechanisms, sub linear summation, excellent account, suppression evident, neural population, sensitive subset
  5. [5] § Materials and methods › Psychophysical procedures ↔ Experiment code/tactiledippers.m, lines 93–174 · score 0.58 · foot pedal, beep, pressing, headphones, staircases, interval
  6. [6] § Materials and methods › EEG procedures ↔ Experiment code/tactileEEG.m, lines 1–60 · score 0.51 · repeated twice, blocks, SSSEP, EEG

Paper

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

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The authors' code

Quarto · 1,734 lines · 109 KB · no license · 2 matches

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Overview

Authors: Shasha Wei1, Alex R Wade1,2, Catherine EJ Preston1, Daniel H Baker1
  1. Department of Psychology, University of York, York, United Kingdom
  2. York Biomedical Research Institute, University of York, York, United Kingdom
Institutions: University of York (United Kingdom)
Journal: PloS one, volume 21, issue 6, article e0350140
Dates: received 17 November 2025; accepted 8 May 2026; published online 11 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pone.0350140 · PMID 42275386 · PMCID PMC13258021 · OpenAlex W7164346268
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism), cognitive (subfield)
MeSH: Evoked Potentials, Somatosensory*, Touch Perception*, Vibration*, Adult, Electroencephalography, Female, Fingers, Humans, Male, Sensory Thresholds, Young Adult (* major topic)
Topic: Multisensory perception and integration (Experimental and Cognitive Psychology, Psychology), according to OpenAlex
Funding: Biotechnology and Biological Sciences Research Council (BB/V007580/1)
Citations: not cited yet (Europe PMC); 65 references in the paper

Abstract

While the brain’s integration of auditory and visual inputs has been extensively investigated, the mechanisms underlying somatosensory signal combination remain less explored. Here, we combine psychophysical thresholds with steady-state somatosensory evoked potentials (SSSEPs) to investigate how vibrotactile inputs are combined across fingers. We find that doubling the number of stimulated digits leads to a weak improvement in detection threshold, consistent with probability summation, whereas introducing a masking stimulus to interleaved digits induces inter-digit suppression. Correspondingly, EEG recordings reveal a ~ 1.4-fold increase in SSSEP amplitude when doubling the number of digits stimulated at the same frequency, reflecting a summation effect. In contrast, SSSEP amplitudes decrease when digits are vibrated at two different frequencies, further supporting the presence of suppression. These results are consistent with a model featuring inhibition between digits and reveal that the weight of suppression is intermediate between that observed in binocular vision and binaural hearing.

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 6 matches between paragraphs and lines of code.

OSF m79d2

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Languages: Quarto (3), MATLAB (2)
Size: 50 files, 5 scripts
Software Heritage: not checked
Found in: “Data Availability”
Holds: environment (docker-compose.yml, docker/Dockerfile), continuous integration, 3 notebooks
Not found: README, license file, CITATION.cff, tests, documentation
Tools: Matplotlib (2 files), MNE-Python (2 files), NumPy (2 files), pandas (2 files), Pingouin (2 files), psignifit (2 files), Psychtoolbox (2 files), SciPy (2 files), statsmodels (2 files)
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
5 files, to read at the source

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

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;
  • 5 scripts, each with its path and the digest of its content;
  • 6 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.

Data Availability

All experiment code, raw data, processed data and analysis code are available at the project repository: https://doi.org/10.17605/OSF.IO/M79D2. The linked GitHub repository also contains a fully computationally reproducible version of this paper in Quarto format.

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

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 11 MeSH terms, 1 funder, 64 references.

Cite

This paper

Wei, S., Wade, A. R., Preston, C. E., & Baker, D. H. (2026). Signal combination in flutter vibration perception. PloS one, 21(6), e0350140. https://doi.org/10.1371/journal.pone.0350140

BibTeX

@article{wei2026signal,
author = {Wei, Shasha and Wade, Alex R and Preston, Catherine EJ and Baker, Daniel H},
title = {{Signal combination in flutter vibration perception}},
journal = {PloS one},
year = {2026},
month = jun,
volume = {21},
number = {6},
pages = {e0350140},
publisher = {PLOS},
issn = {1932-6203},
doi = {10.1371/journal.pone.0350140},
url = {https://doi.org/10.1371/journal.pone.0350140},
pmid = {42275386},
pmcid = {PMC13258021}
}

RIS

TY - JOUR
AU - Wei, Shasha
AU - Wade, Alex R
AU - Preston, Catherine EJ
AU - Baker, Daniel H
TI - Signal combination in flutter vibration perception
T2 - PloS one
J2 - PLoS One
PY - 2026
DA - 2026/06/11
VL - 21
IS - 6
SP - e0350140
SN - 1932-6203
PB - PLOS
DO - 10.1371/journal.pone.0350140
UR - https://doi.org/10.1371/journal.pone.0350140
LA - en
ER -

CSL-JSON

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