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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Related Experiment Video

Updated: Apr 13, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Conjunctive Coding of Complex Object Features.

Jonathan Erez1, Rhodri Cusack2,3, William Kendall4

  • 1Department of Psychology, University of Toronto, Toronto, ON, CanadaM5S 3G3.

Cerebral Cortex (New York, N.Y. : 1991)
|April 30, 2015
PubMed
Summary
This summary is machine-generated.

The visual system integrates object features by explicitly coding their conjunctions, not just individual parts. This neural representation in the ventral visual stream (VVS) and perirhinal cortex (PRC) is viewpoint-invariant.

Keywords:
MVPAfeature integrationhierarchical object processingperirhinal cortexview-invariance

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Object perception relies on binding features into a unified representation.
  • The neural mechanisms of visual feature integration remain largely unknown.

Purpose of the Study:

  • To investigate whether neural representations integrate object features into a whole distinct from its parts.
  • To explore how the visual system processes complex objects.

Main Methods:

  • Utilized multivoxel pattern analysis (MVPA) of neuroimaging data.
  • Examined activity patterns in the ventral visual stream (VVS) and perirhinal cortex (PRC).

Main Results:

  • Neural representations in the VVS and PRC discriminated between the same features combined into different objects.
  • Activity in these regions was invariant to object viewpoint.
  • Demonstrated sensitivity to feature conjunctions comprising objects.

Conclusions:

  • The visual system explicitly codes feature conjunctions for object processing.
  • Neural representations of complex objects in the VVS and PRC are viewpoint-invariant.
  • Suggests a representational strategy for object recognition.