Cost-benefit Tradeoff Mediates the Rule- to Memory-based Processing Transition during Practice.

Area of Science:

• Cognitive neuroscience
• Computational modeling
• Learning and memory

Background:

• Task practice enhances performance by shifting from rule-based to memory-based processing.
• The precise mechanisms and timing of this strategy transition remain incompletely understood.

Purpose of the Study:

• To investigate if cost-benefit analysis guides strategy transitions during task learning.
• To model the behavioral and neural underpinnings of practice-induced strategy shifts.

Main Methods:

• Participants learned task sequences, with performance and strategy use assessed.
• A computational model incorporating cost-benefit analysis was developed and compared to behavioral data.
• Functional magnetic resonance imaging (fMRI) was used to examine neural correlates of strategy shifts.

Main Results:

• Behavioral improvements and observed slowing at transition points were explained by the cost-benefit model.
• Model comparisons indicated cost-benefit analysis, not just memory strength, better explained strategy transitions.
• fMRI revealed neural encoding of a decision variable related to cost-benefit analysis and distinct brain activation patterns associated with strategy shifts.

Conclusions:

• Cost-benefit analysis serves as a key mechanism driving strategy shifts during learning with practice.
• Neural evidence supports the role of prefrontal cortex regions in decision-making and strategy selection during learning.