Evidence map›Paper›PMID 41224660›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2025

The Richness of Vision in the Mammalian Brain: Neural Codes for Visual Perception and Behavior in Three Dimensions.

Ari Rosenberg, Holly Bridge, Charles E Connor, Jason M Samonds, Seiji Tanabe, Kristine Krug

Abstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 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

6 authors.

Ari RosenbergDepartment of Neuroscience, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, Wisconsin 53705 ari.rosenberg@wisc.edu kristine.krug@ovgu.du.ORCID 0000-0002-8606-2987
Holly BridgeCentre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 0LN, United Kingdom.ORCID 0000-0002-8089-6198
Charles E ConnorKrieger Mind/Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, Maryland 21218.
Jason M SamondsDepartment of Neuroscience, Center for Learning and Memory, University of Texas at Austin, Austin, Texas 78712.ORCID 0000-0002-5857-0597
Seiji TanabeDepartment of Psychology, University of Virginia, Charlottesville, Virginia 22904.ORCID 0000-0002-9705-4907
Kristine KrugInstitute of Biology, Otto-von-Guericke-University Magdeburg, Magdeburg 39120, Germany ari.rosenberg@wisc.edu kristine.krug@ovgu.du.ORCID 0000-0001-7119-9350

Funding

WNPRC Supplemental Request for Nonhuman Primate Enclosures to Equip HIV/AIDS-Related Research FacilitiesP51OD011106 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI Dorota A. Grejner-Brzezinska · 2012 to 2026
$150.7M
OBJECT SYNTHESIS IN EXTRASTRIATE VISUAL CORTEXR01EY011797 · NEI · JOHNS HOPKINS UNIVERSITY · PI CONNOR, CHARLES E · 1999 to 2011
$4.0M
Hierarchical cortical circuits implementing robust 3D visual perceptionR01EY029438 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI Ari Rosenberg · 2018 to 2026
$3.8M
Neural Coding of Complex 3D ShapesR01EY016711 · NEI · JOHNS HOPKINS UNIVERSITY · PI CONNOR, CHARLES E · 2005 to 2014
$3.2M
Neuroscience Training ProgramT32NS105602 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Ari Rosenberg · 2019 to 2026
$2.5M
Cortical processing of three-dimensional object-motionR01EY035005 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI Ari Rosenberg · 2023 to 2026
$1.8M
Shape Learning: Computational Changes in Chronically Studied Neural Populations (Diversity Supplement)R01EY025223 · NEI · JOHNS HOPKINS UNIVERSITY · PI CONNOR, CHARLES E · 2015 to 2018
$1.5M
"CRCNS": Brain-derived network architectures for deciphering and applying brain algorithmsR01EY037193 · NEI · JOHNS HOPKINS UNIVERSITY · PI CHARLES E CONNOR, ALAN L YUILLE · 2024 to 2026
$1.2M
Novel freely moving monkey framework for the study of naturalistic behaviorsR21NS128586 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI KIM, BYOUNGHOON, ROSENBERG, ARI · 2023 to 2024
$428k
Manipulation of 3D object perception with mid-level cortical micro-stimulationR21EY037065 · NEI · JOHNS HOPKINS UNIVERSITY · PI CHARLES E CONNOR · 2025 to 2026
$427k
NEI NIH HHS R01 EY011797NEI NIH HHS R01 EY016711NEI NIH HHS R01 EY025223NEI NIH HHS R01 EY029438NEI NIH HHS R01 EY035005NEI NIH HHS R01 EY037193NEI NIH HHS R21 EY037065NIH HHS P51 OD011106NINDS NIH HHS R21 NS128586NINDS NIH HHS T32 NS105602
6 · The paper itself

Abstract

Successful navigation and interactions with objects in a complex, three-dimensional (3D) world are essential to survival, yet studies of the neural basis of visual perception and action often treat the world as a flat, two-dimensional (2D) canvas. Here, we review recent discoveries about how the visual systems of different mammals have adapted under the constraint of a 3D world. Many neurons in primate visual cortex are sensitive to 3D depth cues constructed from input differences to the two eyes (binocular disparities). Similar neuronal selectivity has recently been characterized in tree shrews and mice, though constrained anatomically and functionally. Disparity-sensitive receptive field structures can now be assessed noninvasively across human visual cortex and functionally linked to depth perception. At later stages in the nonhuman primate (NHP) ventral ("what") pathway, supporting object recognition, complex 3D objects are represented as spatial configurations of geometric parts. In studies of the dorsal ("where"/"how") pathway of NHPs, underlying visuospatial processing, the inclusion of 3D structure in visual tasks has established tighter links between neuronal mechanisms and perception. This has also revealed neuronal representations of 3D object position and orientation that are tolerant to 3D gaze location, providing a basis for robust perception and action. The cross-species analysis presented here provides new perspectives on neural coding mechanisms underpinning the richness of 3D visual experience. Elucidation of these mechanisms will be essential for understanding the neural basis of cognition and behavior, which in turn will enable the development of therapies and neuroprosthetics for those suffering from visual impairments.

Indexed as

BrainDepth PerceptionNeuronsVisual CortexVisual PerceptionAnimalsHumansVisual Pathwaysbinocular disparityhumanmacaquerodenttree shrew

Identifiers

PMID41224660
PMCPMC12614053

What OpenQuestion holds

Textmetadata
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.