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Aversive motivation and cognitive control.

Debbie M Yee1, Xiamin Leng2, Amitai Shenhav2

  • 1Cognitive, Linguistic, and Psychological Sciences, Brown University, USA; Carney Institute for Brain Science, Brown University, USA; Department of Psychological and Brain Sciences, Washington University in Saint Louis, USA.

Neuroscience and Biobehavioral Reviews
|December 15, 2021
PubMed
Summary

Aversive motivation significantly impacts cognitive control. Understanding its neural basis requires experimental designs that carefully manipulate incentives, distinguishing between negative reinforcement and punishment to clarify motivation-control interactions.

Keywords:
Aversive motivationCognitive controlHabenulaMixed motivationNegative reinforcementPunishmentSerotonin

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Behavioral Economics

Background:

  • Aversive motivation is a key driver of cognitive control, but its neural mechanisms are complex.
  • Existing research faces challenges in dissecting the interplay between motivation and control due to behavioral complexities.

Purpose of the Study:

  • To review and synthesize literature on aversive motivation and cognitive control.
  • To propose experimental design improvements for understanding motivation-control interactions.
  • To highlight the importance of distinguishing between negative reinforcement and punishment.

Main Methods:

  • Literature review of animal learning, systems neuroscience, and computational studies.
  • Analysis of experimental paradigms incorporating motivational context and mixed incentives.
  • Theoretical postulation on the role of negative reinforcement versus punishment.

Main Results:

  • Complex behavioral responses to aversive incentives complicate neural mechanism understanding.
  • Experimental paradigms need to incorporate both motivational context and mixed incentives.
  • Distinguishing between negative reinforcement and punishment is crucial for understanding aversive incentive effects.

Conclusions:

  • Sharpened experimental and theoretical focus on distinct motivational dimensions is needed.
  • Improved experimental designs will advance understanding of neural, monoaminergic, and computational mechanisms.
  • This approach promises to clarify the interaction between motivation and cognitive control.