Evidence map›Paper›PMID 41836635›Full record

ArticleFrontiers in behavioral neuroscience2026

Single neuron responses in NCL, MVL, and Wulst during the observation of videos of conspecifics support population feature coding.

Sara Santos Silva, Daniela Bühn, Paxton Hall, William Clark, Jonas Rose, Michael Colombo

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In one paragraph

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

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0citing papers in PubMed
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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

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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

6 authors.

Sara Santos SilvaNeural Basis of Learning, Faculty of Psychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Daniela BühnDepartment of Psychology, University of Otago, Dunedin, New Zealand.
Paxton HallDepartment of Psychology, University of Otago, Dunedin, New Zealand.
William ClarkDepartment of Neurobiology, Harvard Medical School, Boston, MA, United States.
Jonas RoseNeural Basis of Learning, Faculty of Psychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, Bochum, Germany.
Michael ColomboDepartment of Psychology, University of Otago, Dunedin, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social visual processing in vertebrates employs sophisticated neural mechanisms ranging from categorical face cells to distributed sparse coding systems. In primates, recent evidence supports a "tuning landscape" model where neurons signal distances to prototypes in high-dimensional space rather than functioning as simple category detectors. However, social visual processing in non-mammalian animals remains poorly understood. We recorded single-unit activity from three functionally distinct pigeon brain regions-mesopallium ventrolaterale (MVL), visual Wulst, and nidopallium caudolaterale (NCL)-while birds viewed dynamic videos of conspecifics and control shapes performing courtship, eating, flying, and walking behaviors. Despite finding visually responsive neurons in all regions, we observed no categorical distinction between conspecific and control stimuli. Instead, population analyses revealed discrete temporal modulations corresponding to specific motion features-bowing, wing-flapping, head-bobbing-suggesting feature-based rather than categorical encoding of visual information. Sound-modulated visual units were significantly more prevalent in MVL than Wulst, indicating earlier multimodal integration in the tectofugal pathway than previously recognized. The absence of differential responses in NCL during passive viewing, contrasting with clear modulation in visual areas, suggests that this region is less involved in the automatic analysis of visual features. These findings suggest that avian visual structures use sparse coding principles that are similar to the visual cortex, where populations encode specific features through coordinated but brief neural responses rather than sustained categorical signals.

Indexed as

conspecific recognitiondynamic stimulifeature-based codingmultimodal integrationpigeonsparse codingtectofugal pathwaythalamofugal pathway

Identifiers

PMID41836635
PMCPMC12979531

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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.