"Automated Techniques to Model Brain and Behavior Connections in Mouse Cortex"

The Department of Physiology welcomes Dr. Timothy Murphy with University of British Columbia.

Abstract

We will discuss mesoscale functional imaging of mouse cortex using genetically encoded sensors. New methodologies include neural network based solutions to register brain activity data to brain atlases. To assist in behavioral assessment we describe neural network-based tools to track mouse movements in real time. As a means of facilitating data acquisition we introduce automated mouse home cages that provide autonomous 24/7 functional imaging. Lastly, a novel animated mouse three-dimensional body model provides ground truth synthetic movement data for training neural network-based pose estimators. The synthetic data approach also provides a means of representing mouse movements within a common behavioral framework. These new methods are used to better assess mouse models of human disease including stroke 

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