kristinbranson/JAAB​A

Version 1.0.6.0 (32,6 Mo) par Kristin
JAABA: The Janelia Automatic Animal Behavior Annotator
333 téléchargements
Mise à jour 7 mars 2024

The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. Our system combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. JAABA is complementary to video-based tracking methods, and we envision that it will facilitate extraction of detailed, scientifically meaningful measurements of the behavioral effects in large experiments.
JAABA is an open-source, freely available program developed by members of the Branson lab at HHMI Janelia Farm. It is described in detail in the paper "JAABA: Interactive machine learning for automatic annotation of animal behavior", Kabra, Robie, et al., Nature Methods, 2012.

Citation pour cette source

Kristin (2024). kristinbranson/JAABA (https://github.com/kristinbranson/JAABA), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2015a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Behavior and Psychophysics dans Help Center et MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

dev

figurecode

filehandling

misc

perframe

perframe/@Trx

perframe/archive

perframe/compute_perframe_features

perframe/larva_compute_perframe_features

spaceTime

spaceTime/adamMice

spaceTime/adamMice/analysis

spaceTime/adamMice/archive

spaceTime/adamMice/avireadstuff

spaceTime/adamMice/oly

spaceTime/adamMice/oly/+OlyDat

spaceTime/adamMice/oly/+OlyDat/+Analysis

spaceTime/adamMice/pdollarOF

spaceTime/deepmatching

spaceTime/optflow_deqing

spaceTime/optflow_deqing/@alt_ba_optical_flow

spaceTime/optflow_deqing/@ba_optical_flow

spaceTime/optflow_deqing/@classic_nl_optical_flow