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Seminar: Dr Mackenzie Mathis

May 13 @ 16:00 - 17:00

Deep learning tools for pose estimation in the laboratory

Monday 13 May, 4pm at the Lecture Theatre, Le Gros Clark Building, Oxford

 

The Cortex Club is excited to present Dr Mackenzie Mathis, Rowland Junior Fellow at Harvard University, who will be talking to us about her work on a new tools to study deep learning using pose estimation. Please join us on May 13th, at the Lecture Theatre, located in the Le Gros Clark Building of the Department of Physiology, Anatomy and Genetics, Parks Road, Oxford.

Dr Mackenzie Mathis has kindly agreed to meet students and staff individually. If you would like to arrange a meeting please contact Tai-Ying Lee at tai-ying.lee [at] dpag.ox.ac.uk.

Please also join us at the pub after the talk, to which everybody is welcome.

 

 

Abstract

Deep learning tools for pose estimation in the laboratory

Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be highly time consuming. I will discuss an efficient method for markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). In this work, we demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors.

Details

Date:
May 13
Time:
16:00 - 17:00

Venue

Lecture Theatre, Le Gros Clark Building
Le Gros Clark Building
Oxford, OX1 3QX
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