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Inertia in value-driven attention.

Ming-Ray Liao1, Brian A Anderson1

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Attentional biases toward previously rewarding stimuli persist even after learning new reward associations. This study shows that attention lags behind strategic learning, demonstrating the slow update of value-based attention.

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Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Behavioral science

Background:

  • Previously reward-associated stimuli capture and hold attention.
  • Understanding how attentional biases update with new learning is crucial for cognitive models.

Purpose of the Study:

  • To investigate if attentional biases can be extinguished using reversal learning.
  • To determine how quickly value-based attentional biases update with changing reward contingencies.

Main Methods:

  • A reversal learning procedure was employed where the high-value stimulus unexpectedly changed.
  • Attentional bias was measured during training and a subsequent test phase.

Main Results:

  • Attentional priority shifted towards the new high-value stimulus during training.
  • A residual bias towards the original high-value stimulus persisted.
  • During testing, attention was initially biased towards the original high-value stimulus, contrary to recent learning.

Conclusions:

  • Value-based attentional biases are slow to update with new learning.
  • Attentional biases lag behind the strategic reshaping of attention by reward contingencies.