SeminarRecording AvailableMachine Learning

SimBA for Behavioral Neuroscientists

Schedule

Friday, July 16, 2021

07:00 UTC

Sam A. Golden

Dr.

University of Washington, Department of Biological Structure

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Host: Open Source Neuro

Recording

Video on demand

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Event Information

Recording

Available

Host

Open Source Neuro

Duration

70 minutes

Abstract

Several excellent computational frameworks exist that enable high-throughput and consistent tracking of freely moving unmarked animals. SimBA introduce and distribute a plug-and play pipeline that enables users to use these pose-estimation approaches in combination with behavioral annotation for the generation of supervised machine-learning behavioral predictive classifiers. SimBA was developed for the analysis of complex social behaviors, but includes the flexibility for users to generate predictive classifiers across other behavioral modalities with minimal effort and no specialized computational background. SimBA has a variety of extended functions for large scale batch video pre-processing, generating descriptive statistics from movement features, and interactive modules for user-defined regions of interest and visualizing classification probabilities and movement patterns.

Topics

SimBA behaviour behavioural annotation behavioural neuroscience deeplabcut ethology machine-learning movement features pose-estimation predictive classifiers social behaviours video pre-processing

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