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Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from

Ruosi Wang1, Daniel Janini1, Talia Konkle1

  • 1Harvard University.

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|June 15, 2022
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Summary
This summary is machine-generated.

Mid-level visual features rapidly convey information about object animacy and size, even without full object recognition. This suggests a fast, feature-based processing pathway in the human brain.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Cortical responses to visual objects show large-scale organization based on animacy and size.
  • Mid-level perceptual features are increasingly recognized as supporting this organization.
  • The timing of neural responses for extracting animacy and size from mid-level features remains unclear.

Purpose of the Study:

  • To investigate whether mid-level perceptual features alone can rapidly evoke neural responses encoding animacy and object size.
  • To determine if slower, iterative processing is necessary for extracting animacy and size information from mid-level features.
  • To explore the common neural basis for processing animacy and size from both recognizable and unrecognizable object stimuli.

Main Methods:

  • Electroencephalography (EEG) was used to measure human neural responses to object images and their "texform" counterparts.
  • Texform images were designed to preserve mid-level features (texture, coarse form) while obscuring object identity.
  • Cross-decoding analyses were performed to assess shared neural representations between original and texform images.

Main Results:

  • Texform images evoked neural responses with early decodable information about animacy and size, comparable to original object images.
  • This early decodability occurred as rapidly for texform images as for original images.
  • Successful cross-decoding confirmed a common neural basis for processing animacy and size information from both image types.

Conclusions:

  • The human visual system rapidly accesses a mid-level feature bank containing decodable information on animacy and size.
  • This rapid activation occurs without requiring explicit object recognition or prolonged temporal processing.
  • Mid-level perceptual features are sufficient for the early, rapid encoding of animacy and size information.