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Related Experiment Video

Updated: Sep 11, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Identifying and characterizing scene representations relevant for categorization behavior.

Johannes J D Singer1,2, Agnessa Karapetian1,3, Martin N Hebart2,4,5

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Summary
This summary is machine-generated.

Understanding how the brain recognizes scenes is key to behavior. This study reveals that specific brain activity patterns are linked to scene recognition tasks, with different neural representations supporting distinct behaviors.

Keywords:
decodingfMRIperceptual decision-makingscene perceptionvisual features

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Visual Perception

Background:

  • Scene recognition is crucial for environmental interaction.
  • Neural basis of scene recognition is increasingly understood, but its behavioral relevance across tasks is unclear.

Purpose of the Study:

  • Identify behaviorally relevant scene representations.
  • Characterize their visual features.
  • Examine task-dependent variations in these representations.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) in humans viewing scenes.
  • Linking brain responses to behavioral data from categorization and discrimination tasks.
  • Utilizing deep neural networks to analyze visual features.

Main Results:

  • Categorization response times correlated with scene-specific brain responses in distinct ventral visual stream areas.
  • Intermediate deep neural network layers mediated the link between scene representations and behavior.
  • Opposite brain-behavior correlation patterns observed, suggesting representational interference for misaligned tasks.

Conclusions:

  • Scene representations relevant for behavior are task-dependent and spatially distributed in the ventral visual stream.
  • Mid-level visual features contribute to these behaviorally relevant representations.
  • Task demands can either align with or interfere with neural representations, impacting behavior.