Gains and Losses Affect Learning Differentially at Low and High Attentional Load

Area of Science:

• Cognitive Neuroscience
• Decision Making
• Learning Sciences

Background:

• Prospective gains and losses impact cognitive processes, but their specific effects on flexible learning in dynamic environments remain unclear.
• Existing theories propose gains might enhance learning via reward processing, while losses could aid or hinder learning through attentional shifts or motivational costs.

Purpose of the Study:

• To investigate how varying magnitudes of gains and losses influence the flexible learning of feature values under different attentional load conditions.
• To clarify the distinct roles of gains and losses in modulating learning efficacy and speed in environments with increasing interference.

Main Methods:

• A task was designed where participants learned feature values in environments with manipulated attentional load (number of interfering features).
• The study systematically varied the magnitudes of potential gains and losses associated with outcomes.
• Behavioral data on learning efficacy and speed were collected and analyzed.

Main Results:

• Larger prospective gains significantly improved learning efficacy and speed, but only under low attentional load.
• Anticipating losses consistently impaired learning efficacy, with this impairment being more pronounced at higher attentional loads.
• Findings suggest separate control mechanisms for gains and losses, with losses hindering distractor interference reduction and gains enhancing stimulus prioritization within limits.

Conclusions:

• Gains enhance flexible learning by prioritizing reward cues, but this benefit is constrained by attentional load.
• Losses impair learning by reducing the ability to filter distractors and assign credit, imposing a cost on learning, especially under high cognitive demand.
• These results support a rational cognitive control theory, indicating that both losses and distractor interference incur learning costs.