Evidence map›Paper›PMID 26900926›Full record

ArticleNature neuroscience2016

Explicit information for category-orthogonal object properties increases along the ventral stream.

Ha Hong, Daniel L K Yamins, Najib J Majaj, James J DiCarlo

Abstract read
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In one paragraph

Article in Nature neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

146 citing papers in PubMed.

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  19. The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  20. Article

86 more citing papers are in PubMed but not listed here.

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

4 authors.

Ha HongDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Daniel L K YaminsDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Najib J MajajDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0001-9910-5627
James J DiCarloDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Visual object processing in the inferotemporal cortexR01EY014970 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI DICARLO, JAMES J · 2004 to 2016
$4.0M
NEI NIH HHS NEI-R01EY014970NEI NIH HHS R01 EY014970
6 · The paper itself

Abstract

Extensive research has revealed that the ventral visual stream hierarchically builds a robust representation for supporting visual object categorization tasks. We systematically explored the ability of multiple ventral visual areas to support a variety of 'category-orthogonal' object properties such as position, size and pose. For complex naturalistic stimuli, we found that the inferior temporal (IT) population encodes all measured category-orthogonal object properties, including those properties often considered to be low-level features (for example, position), more explicitly than earlier ventral stream areas. We also found that the IT population better predicts human performance patterns across properties. A hierarchical neural network model based on simple computational principles generates these same cross-area patterns of information. Taken together, our empirical results support the hypothesis that all behaviorally relevant object properties are extracted in concert up the ventral visual hierarchy, and our computational model explains how that hierarchy might be built.

Indexed as

Models, NeurologicalBrain MappingFemaleHumansMalePattern Recognition, VisualPhotic StimulationPsychomotor PerformanceRecognition, PsychologyVisual CortexVisual Pathways

Identifiers

PMID26900926

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.