Evidence map›Paper›PMID 27079531›Full record

ArticleNeuroImage2016

Typicality sharpens category representations in object-selective cortex.

Marius Cătălin Iordan, Michelle R Greene, Diane M Beck, Li Fei-Fei

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Characterizing internal models of the visual environment.Proceedings. Biological sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Relating categorization to set summary statistics perception.Attention, perception & psychophysics · 2019
    Article
  9. Article
  10. Typicality: Stable structures and flexible functions.Psychonomic bulletin & review · 2019
    Review
  11. Review
  12. A Neural Mechanism of Social Categorization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
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.

Marius Cătălin IordanDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA. Electronic address: mci@cs.stanford.edu.
Michelle R GreeneDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA. Electronic address: mrgreene@stanford.edu.
Diane M BeckBeckman Institute and Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address: dmbeck@illinois.edu.
Li Fei-FeiDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA. Electronic address: feifeili@cs.stanford.edu.

Funding

CRCNS: fMRI Pattern Analysis of Neural Correlates of Natural Scene CategoriesR01EY019429 · NEI · STANFORD UNIVERSITY · PI LI, FEI-FEI · 2008 to 2011
$1.3M
Effect of Scene Contextual Relations for Guiding Real-World Visual SearchF32EY019815 · NEI · STANFORD UNIVERSITY · PI GREENE, MICHELLE R. · 2009 to 2011
$144k
NEI NIH HHS F32 EY019815NEI NIH HHS R01 EY019429
6 · The paper itself

Abstract

The purpose of categorization is to identify generalizable classes of objects whose members can be treated equivalently. Within a category, however, some exemplars are more representative of that concept than others. Despite long-standing behavioral effects, little is known about how typicality influences the neural representation of real-world objects from the same category. Using fMRI, we showed participants 64 subordinate object categories (exemplars) grouped into 8 basic categories. Typicality for each exemplar was assessed behaviorally and we used several multi-voxel pattern analyses to characterize how typicality affects the pattern of responses elicited in early visual and object-selective areas: V1, V2, V3v, hV4, LOC. We found that in LOC, but not in early areas, typical exemplars elicited activity more similar to the central category tendency and created sharper category boundaries than less typical exemplars, suggesting that typicality enhances within-category similarity and between-category dissimilarity. Additionally, we uncovered a brain region (cIPL) where category boundaries favor less typical categories. Our results suggest that typicality may constitute a previously unexplored principle of organization for intra-category neural structure and, furthermore, that this representation is not directly reflected in image features describing natural input, but rather built by the visual system at an intermediate processing stage.

Indexed as

AdultBrain MappingConcept FormationFemaleForm PerceptionHumansMaleNerve NetPattern Recognition, VisualRecognition, PsychologyVisual CortexCategorizationfMRIObjectTypicality

Identifiers

PMID27079531
PMCPMC4912889

What OpenQuestion holds

Textmetadata
LicenceTDM
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.