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A Fully Automated Rodent Conditioning Protocol for Sensorimotor Integration and Cognitive Control Experiments

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Interfacing behavioral and neural circuit models for habit formation.

Talia N Lerner¹

¹Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Journal of Neuroscience Research

|January 10, 2020

Summary

Habits automate behavior but can cause inflexibility. This research explores how the brain manages the transition to habitual control, focusing on striatal circuits and integrating diverse research approaches for deeper understanding.

Keywords:

dopamine goal-directed behavior habit striatum

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Area of Science:

Neuroscience
Behavioral Science
Cognitive Science

Background:

Habits automate behavior to reduce cognitive load.
Transitioning to habitual control can lead to maladaptive behavioral inflexibility.
Understanding the neural basis of habit formation is crucial for managing behavioral control.

Purpose of the Study:

To investigate the neural mechanisms underlying the transition to habitual behavior.
To explore how the brain regulates the automation of repeated actions.
To identify when releasing actions from cognitive control is advantageous or disadvantageous.

Main Methods:

Review of existing research on behavioral models of habit formation in animal models.
Analysis of neural circuits, with an emphasis on striatal circuits, involved in habit transitions.
Discussion of strategies for integrating findings across different research paradigms and levels of analysis.

Main Results:

Decades of research have established methods for eliciting habitual responding.
Significant progress has been made in identifying brain areas and neural circuits controlling habit transitions.
Striatal circuits are a key focus in understanding the neurobiology of habit formation.

Conclusions:

The transition to habitual control is a complex process regulated by specific neural circuits.
Integrating diverse research approaches is essential for advancing the field of habit formation.
Further research is needed to fully elucidate the brain's control over behavioral automation and its implications.