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Related Experiment Video

Updated: Sep 6, 2025

Pavlovian Conditioned Approach Training in Rats

Pavlovian Conditioned Approach Training in Rats

Published on: February 4, 2016

Sticky me: Self-relevance slows reinforcement learning.

Marius Golubickis¹, C Neil Macrae²

¹School of Psychology, University of Plymouth, Plymouth, UK.

|June 25, 2022

Summary

This summary is machine-generated.

Self-relevant information is learned more slowly and relies on past experiences rather than exploring new options, unlike information about friends. This impacts decision-making in uncertain environments.

Keywords:

Learning Probabilistic selection task Reinforcement learning drift diffusion model Self Self-prioritization

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Last Updated: Sep 6, 2025

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Area of Science:

Cognitive Psychology
Neuroscience
Social Cognition

Background:

Self-relevant information is prioritized in perception, attention, and memory.
It remains unclear if self-relevance similarly affects learning processes.
Understanding self-relevance in learning is crucial for social-cognitive functioning.

Purpose of the Study:

To investigate whether self-relevant information is acquired more rapidly than information about others during learning.
To determine how self-relevance influences learning under uncertainty.
To explore the impact of self-relevance on decision-making strategies.

Main Methods:

Utilized a probabilistic selection task.
Employed computational modeling, specifically Reinforcement Learning Drift Diffusion Model analysis.
Conducted two experiments to examine learning rates and choice behaviors.

Main Results:

Learning rates for prediction errors (both positive and negative) were slower for self-relevant associations compared to friend-relevant ones.
Self-relevant learning favored exploitation of previously rewarded outcomes over exploration of novel options.
This pattern was consistent across both experiments, indicating a robust effect.

Conclusions:

Self-relevance slows down learning and promotes reliance on established outcomes in uncertain decision-making.
Findings suggest that self-related learning prioritizes stability over exploration.
These results have implications for understanding the broader functions of the self in cognitive processes.