A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Sanjay Shukla; Ahmet Arac

doi:10.3791/60763

Journal

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Behavior

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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

JoVE Journal
Behavior

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JoVE Journal Behavior

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

9,198 Views

•

05:41 min

•

February 06, 2020

DOI:

10.3791/60763-v

DOI:

10.3791/60763-v

•

05:41 min

February 06, 2020

•

3 Views

Sanjay Shukla¹, Ahmet Arac¹

¹Department of Neurology,David Geffen School of Medicine, University of California, Los Angeles

Summary

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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A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

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