Neural mechanisms and computations underlying stress effects on learning and memory.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Computational Psychiatry

Background:

• Stress exerts multifaceted influences on memory, varying with information type and individual differences.
• Stress can alter memory system engagement, promoting habit-based recall over spatial or goal-directed navigation.
• Emerging research implicates novel synaptic mechanisms in stress-induced plasticity and memory modulation.

Purpose of the Study:

• To explore the complex relationship between stress and memory function.
• To investigate how stress influences different memory systems.
• To highlight the utility of computational modeling in understanding stress effects on cognition.

Main Methods:

• Review of recent research on stress, memory systems, and synaptic plasticity.
• Analysis of computational models explaining stress-induced cognitive alterations.
• Examination of the inverted-U-shaped relationship between stress and cognitive performance.

Main Results:

• Stress can bias memory performance towards habit-based strategies at the expense of others.
• Synaptic plasticity mechanisms are increasingly recognized as key mediators of stress effects on memory.
• Computational models offer valuable insights into the neural computations underlying stress and memory interactions.

Conclusions:

• Computational modeling provides a powerful framework for integrating diverse findings on stress and memory.
• Understanding these stress-induced cognitive shifts is crucial for addressing psychopathology.
• Further model-based analyses can enhance our comprehension of stress's broad impact on cognition.