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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Updated: Dec 1, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Quantifying behavior to understand the brain.

Talmo D Pereira¹, Joshua W Shaevitz^2,3, Mala Murthy⁴

¹Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.

Nature Neuroscience

|November 10, 2020

Summary

This summary is machine-generated.

New computational ethology tools automate animal behavior quantification. Deep learning advances enable detailed motion tracking, crucial for linking brain activity to behavior and understanding neural circuits.

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Area of Science:

Neuroscience
Ethology
Computer Science

Background:

Automated quantification of animal behavior has rapidly advanced.
Computational ethology is an emerging field.
Understanding behavior is key to neuroscience.

Purpose of the Study:

Review recent technical advances in behavioral quantification.
Discuss challenges and future directions in the field.
Highlight the role of deep learning in progress.

Main Methods:

Review of methods for tracking animal motion.
Characterization of the dynamics of animal movement.
Application of computational tools to diverse research approaches.

Main Results:

Significant progress in automating behavioral quantification.
Deep learning as a core technology driving advancements.
Enabling richer descriptions of animal behavior in various contexts.

Conclusions:

Quantitative behavior analysis is essential for neuroscience.
Future directions emphasize deep learning and integrated brain-behavior analysis.
Resolving the relationship between neural circuits, cognition, and behavior.