Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning.
Overview
Abstract
To efficiently perceive sensory information and guide behavior, the brain organizes incoming sensory stimuli into internal maps that capture perceptual relatedness between stimuli. Whether these maps, typically assessed in scaling paradigms without feedback, also shape perceptual decisions during reinforcement-based conditions remains unclear. Here, we assess task-naïve perceptual maps from similarity judgments of pulsed sound stimuli, and compare them to perceptual maps obtained from multiple discrimination tasks in humans (n = 152) and mice (n = 11). We find that task-naïve maps predict how well humans discriminate sounds, how quickly they learn, and which stimulus features guide their choices. Moreover, naïve and task-based maps share key structures, suggesting a stable perceptual map architecture throughout learning. Remarkably, human task-based and task-naïve perceptual maps share key features and structures with the task-based perceptual maps of mice, indicating congruent structures of auditory perception across species. Together, our results indicate that perception relies on robust internal maps that provide a common framework to flexibly guide behavior in changing environments.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
No file of the authors' code could be read here: it is described below, and read at its source.
doi:10.12751/g-node.bgb999
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
g-node.org
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
Code availability
The MATLAB code used to analyze the data of this study has been deposited at G-Node (www.g-node.org) and is publicly available (10.12751/
Reproduced under the paper's license (CC BY), from the paper cited above.
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:
- 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 0 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.
Data availability
The data of this study and the pulsed auditory stimuli used in this study have been deposited at G-Node (www.g-node.org) and is publicly available (10.12751/
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, 3 keywords, 2 funders, 86 references.
Cite
This paper
Seiler, J. P.-H., Cazzetta, G., Ghobadi, A., & Rumpel, S. (2026). Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning. Communications psychology, 4(1), 98. https://
BibTeX
@article{seiler2026audit
author = {Seiler, Johannes P.-H. and Cazzetta, Giuseppe and Ghobadi, Aida and Rumpel, Simon},
title = {{Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning}},
journal = {Communications psychology},
year = {2026},
month = jun,
volume = {4},
number = {1},
pages = {98},
publisher = {Nature Publishing Group},
issn = {2731-9121},
doi = {10.1038/
url = {https://
pmid = {42321506},
pmcid = {PMC13282483}
}
RIS
TY - JOUR
AU - Seiler, Johannes P.-H.
AU - Cazzetta, Giuseppe
AU - Ghobadi, Aida
AU - Rumpel, Simon
TI - Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning
T2 - Communications psychology
J2 - Commun Psychol
PY - 2026
DA - 2026/
VL - 4
IS - 1
SP - 98
SN - 2731-9121
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"type": "article-journal",
"title": "Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning",
"container-title": "Communications psychology",
"author": [
{
"family": "Seiler",
"given": "Johannes P.-H."
},
{
"family": "Cazzetta",
"given": "Giuseppe"
},
{
"family": "Ghobadi",
"given": "Aida"
},
{
"family": "Rumpel",
"given": "Simon"
}
],
"container-title-short":
"volume": "4",
"issue": "1",
"page": "98",
"DOI": "10.1038/
"PMID": "42321506",
"PMCID": "PMC13282483",
"ISSN": "2731-9121",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
20
]
]
}
}
The tracing map gets a citation of its own once an author has validated it and it has a DOI.
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1126/sciadv.aef3715
- A cortical output channel for perceptual categorization.Journal: Science advancesIn common: cognitive, mouse, 4 references
- [2] doi:10.1038/s42003-026-10169-0 [code]
- Shared representations in brains and models reveal a two-route cortical organization during scene perception.Journal: Communications biologyIn common: cognitive, 4 references
- [3] doi:10.1167/jov.26.5.7 [code]
- Representations in vision and language converge in a shared, multidimensional space of perceived similarities.Journal: Journal of visionIn common: cognitive, 3 references
- [4] doi:10.1126/sciadv.aed4808 [code]
- Perirhinal input to auditory cortex supports memory-guided sensory perception.Journal: Science advancesIn common: mouse, 3 references
- [5] doi:10.1371/journal.pbio.3003684 [code]
- The retrieval of previously learned motor memories is facilitated by the reinstatement of default mode network manifold structures.Journal: PLoS biologyIn common: cognitive, 3 references
- [6] doi:10.1038/s42003-026-10354-1 [code]
- REM sleep favors the restructuring of problem-related semantic associations.Journal: Communications biologyIn common: cognitive, 2 references
- [7] doi:10.1038/s41593-026-02377-y [code]
- Representations of the intrinsic value of information in mouse orbitofrontal cortex.Journal: Nature neuroscienceIn common: mouse, 2 references
- [8] doi:10.1162/nol.a.244 [code]
- A Novel Approach to Map the Causal Impact of Brain Stimulation on Semantic Processing With Language Models.Journal: Neurobiology of language (Cambridge, Mass.)In common: 3 references
- [9] doi:10.1371/journal.pcbi.1014297 [code]
- Statistics of cortical representational drift can enable robust readout.Journal: PLoS computational biologyIn common: 2 references
- [10] doi:10.7554/elife.103846 [code]
- Overt visual attention modulates decision-related signals in the frontal cortex.Journal: eLifeIn common: cognitive, 2 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 2 repositories of the authors' code, each at its verified commit and with its license, 0 scripts, and 0 matches between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:c8ed1c5b8c86118e…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[.
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
