Top-down control: A unified principle of cortical learning

Area of Science:

• Neuroscience
• Cognitive Science
• Computational Neuroscience

Background:

• Cognitive control enables flexible mapping of sensory information to goal-directed actions.
• Learning allows the brain to estimate world states and generate motor outputs through event association and movement refinement.
• Top-down control from higher-order brain areas modulates neural activity crucial for learned behaviors.

Purpose of the Study:

• To highlight a unified principle in learning-related neural circuit changes.
• To emphasize the role of top-down control across different learning domains.
• To explore how top-down control facilitates refined state estimation and optimal behavior.

Main Methods:

• Review of accumulating evidence on top-down control in learning.
• Highlighting recent advances in multi-site recordings and optogenetics.
• Monitoring and perturbing top-down inputs to observe behavioral and neural consequences.

Main Results:

• Learning-related neural circuit changes converge on a unified principle: recruitment of top-down control.
• Top-down control is recruited across sensory, motor, and offline learning domains.
• Recruitment of top-down control reflects experience-dependent adaptation and integration of internal models.

Conclusions:

• Top-down cognitive control is a fundamental principle underlying diverse forms of learning.
• This control mechanism is essential for adapting internal models for accurate state estimation.
• It ultimately supports goal-directed, optimal behavior in complex environments.