Evidence map›Paper›PMID 40279412›Full record

ArticleScience advances2025

Brain feature maps reveal progressive animal-feature representations in the ventral stream.

Zhanqi Zhang, Till S Hartmann, Richard T Born, Margaret S Livingstone, Carlos R Ponce

Abstract read
In one paragraph

Article in Science advances, 2025. 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.

Zhanqi ZhangDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-2606-139X
Till S HartmannDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5246-8815
Richard T BornDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-4360-427X
Margaret S LivingstoneDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1950-0123
Carlos R PonceDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9887-3234

Funding

Viral ModuleP30EY012196 · NEI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Gabriel Kreiman · 1998 to 2026
$21.3M
Defining mechanisms for natural vision in the primate brain with machine learningDP2EY035176 · NEI · HARVARD MEDICAL SCHOOL · PI PONCE, CARLOS RAMON · 2022 to 2025
$2.5M
NEI NIH HHS DP2 EY035176NEI NIH HHS P30 EY012196
6 · The paper itself

Abstract

What are the fundamental principles that inform representation in the primate visual brain? While objects have become an intuitive framework for studying neurons in many parts of cortex, it is possible that neurons follow a more expressive organizational principle, such as encoding generic features present across textures, places, and objects. In this study, we used multielectrode arrays to record from neurons in the early (V1/V2), middle (V4), and later [posterior inferotemporal (PIT) cortex] areas across the visual hierarchy, estimating each neuron's local operation across natural scene via "heatmaps." We found that, while populations of neurons with foveal receptive fields across V1/V2, V4, and PIT responded over the full scene, they focused on salient subregions within object outlines. Notably, neurons preferentially encoded animal features rather than general objects, with this trend strengthening along the visual hierarchy. These results show that the monkey ventral stream is partially organized to encode local animal features over objects, even as early as primary visual cortex.

Indexed as

Brain MappingVisual CortexAnimalsMacaca mulattaMaleNeuronsPhotic StimulationVisual PathwaysVisual Perception

Identifiers

PMID40279412
PMCPMC12024516

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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.