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Humans can efficiently look for but not select multiple visual objects.

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Summary
This summary is machine-generated.

The brain can prepare to select two visual objects with minimal cost, but actively selecting them incurs significant neural and behavioral expenses due to competition, not a serial bottleneck.

Keywords:
EEGMVPAattentional templatefeature-based attentionhumanmultiple targetsneurosciencevisual search

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Area of Science:

  • Cognitive Neuroscience
  • Visual Attention Research

Background:

  • The human brain prioritizes task-relevant visual information.
  • A key question is whether the brain can simultaneously prioritize multiple objects.

Purpose of the Study:

  • To investigate the neural and behavioral costs of preparing for and engaging in the selection of multiple visual objects.
  • To differentiate between preparation and engagement costs in visual selection.

Main Methods:

  • Observers searched for two colored targets among distractors.
  • The number of anticipated target colors and actual target colors were independently varied.
  • Multivariate classification of electroencephalographic (EEG) activity tracked target selection over time.

Main Results:

  • Small neural and behavioral costs were observed when preparing to select two objects.
  • Substantial costs arose during the actual engagement of selection for multiple objects.
  • Analysis indicated neural competition limits parallel processing, rather than a serial bottleneck.

Conclusions:

  • Engaging in the selection of multiple objects incurs significant costs due to neural competition.
  • Findings suggest limited parallel processing capacity in feature-based attention.
  • The study reconciles differing theories on attentional capacity limitations.