Evidence map›Paper›PMID 41760946›Full record

ArticleCommunications biology2026

Population coding for visual and auditory quantity in human numerotopic maps.

Garam Jeong, Joram Soch, Robert Trampel, Andreas Nieder, Michael A Skeide

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Garam Jeong *Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID http://orcid.org/0000-0002-7831-7644
Joram Soch *Institute for Psychology, Otto-von-Guericke-Universität Magdeburg Universitätsplatz 2, Magdeburg, Germany.ORCID http://orcid.org/0000-0002-8879-5666
Robert TrampelDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID http://orcid.org/0000-0002-3080-9412
Andreas NiederAnimal Physiology Unit, Institute of Neurobiology, Eberhard-Karls-Universität Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-6381-0375
Michael A SkeideResearch Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. skeide@cbs.mpg.de.ORCID http://orcid.org/0000-0001-5027-2811

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 433715509Jacobs Foundation Research Fellowship
6 · The paper itself

Abstract

Neural populations that are able to extract quantitative information from multiple sensory domains are essential for the survival of numerous species. How quantity is encoded across different senses is far from understood. Here, we identified an overarching coding scheme for visual and auditory numerosity using high-field functional magnetic resonance imaging at 7 Tesla in humans. Based on a neurobiologically plausible model informed by electrophysiological data, we discovered hemodynamic responses revealing logarithmic Gaussian tuning to numerosity in both domains. Responses were organized topographically, forming numerotopic maps. We found several visual maps scattered over the association cortices and anatomically distinct auditory maps in superior temporal and premotor cortices. The present data shed light on the multisensory foundations of numerical information processing in the human brain. These insights open avenues for future research exploring how different species detect quantity in different sensory modalities.

Indexed as

Auditory CortexAuditory PerceptionBrain MappingVisual CortexVisual PerceptionAcoustic StimulationAdultFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationYoung Adult

Identifiers

PMID41760946
PMCPMC12992664

What OpenQuestion holds

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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.