Evidence map›Paper›PMID 41561378›Full record

ArticleiScience2026

Multiplexing of visual-auditory signals in a predominantly auditory brain region.

Meredith N Schmehl, Yunran Chen, Surya T Tokdar, Jennifer M Groh

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Meredith N SchmehlDepartment of Neurobiology, Duke University, Durham, NC 27705, USA.
Yunran ChenDepartment of Statistical Science, Duke University, Durham, NC 27705, USA.
Surya T TokdarDuke Institute for Brain Sciences, Duke University, Durham, NC 27705, USA.
Jennifer M GrohDepartment of Neurobiology, Duke University, Durham, NC 27705, USA.

Funding

Information Preservation in Neural CodesR01NS129112 · NINDS · DUKE UNIVERSITY · PI JENNIFER M GROH, Surya T Tokdar · 2022 to 2026
$2.8M
Information in Limited-Capacity Neural CodesR01DC013906 · NIDCD · DUKE UNIVERSITY · PI GROH, JENNIFER M · 2015 to 2019
$1.6M
Spatial Information CodesR01DC016363 · NIDCD · DUKE UNIVERSITY · PI GROH, JENNIFER M, TOKDAR, SURYA T · 2017 to 2021
$1.6M
The Effect of Visual Stimuli on Sound Representation in the Macaque Inferior ColliculusF31DC020361 · NIDCD · DUKE UNIVERSITY · PI SCHMEHL, MEREDITH NICOLE · 2022 to 2023
$83k
NIDCD NIH HHS F31 DC020361NIDCD NIH HHS R01 DC013906NIDCD NIH HHS R01 DC016363NINDS NIH HHS R01 NS129112
6 · The paper itself

Abstract

A recent theory of neural representation postulates that neurons may fluctuate between encoding multiple items. Such competition for representation is plausible when the stimuli evoke activity in overlapping neural populations. What about when one stimulus does not? Here, we ask whether a stimulus that is poorly represented can also evoke fluctuating activity when combined with a more dominant stimulus. Specifically, we investigated responses to visual and auditory stimuli in the inferior colliculus (IC), a predominantly auditory structure. We found fluctuating activity evoked by visual-auditory stimulus combinations, indicating that fluctuations can arise even when one item is not from a brain area's preferred modality. The IC also appeared to maintain representations of multiple sounds, regardless of whether one was paired with a visual stimulus or which one was localized first. These results indicate that multimodal stimuli can evoke fluctuating activity in unimodal structures, preserving sensory information rather than filtering for attention.

Indexed as

NeuroscienceSensory neuroscience

Identifiers

PMID41561378
PMCPMC12814432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.