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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis - a 2 minute Preview of the Experimental Protocol

Sanjay Shukla, Ahmet Arac
David Geffen School of Medicine, University of California, Los Angeles, Department of Neurology;

The purpose of this protocol is to utilize pre-built convolutional neural nets to automate behavior tracking and perform detailed behavior analysis. Behavior tracking can be applied to any video data or sequences of images and is generalizable to track any user-defined object.

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