Mixing memory and desire: How memory reactivation supports deliberative decision-making

Area of Science:

• Neuroscience
• Cognitive Psychology
• Computational Neuroscience

Background:

• Memory is crucial for present uncertainty resolution and future planning.
• Adaptive behavior relies on memory's role in decision-making.
• Recent research highlights memory retrieval's impact on action selection.

Purpose of the Study:

• To review key findings on memory retrieval and deliberative action selection.
• To present a theoretical framework interpreting memory's role in decisions.
• To propose a model for integrating memory-based predictions.

Main Methods:

• Review of empirical observations and theoretical advances in memory research.
• Interpretation of results within a sequential inference framework.
• Development of a model based on memory reactivation dynamics.

Main Results:

• Memory retrieval acts as "samples" of potential action outcomes.
• Memory reactivation dynamics critically influence decision-making.
• A "product of experts" rule integrates predictions weighted by uncertainty.

Conclusions:

• Memory dynamics play a central role in adaptive decision-making.
• The proposed model offers insights into how diverse memories inform choices.
• Further research is needed to explore representation-specific dynamics and their implications.