We are developing deep learning based tools for automatic quantification of rodent behavior.

Please see our github page for codes and descriptions of our tools

EXPLORE: a novel deep learning-based analysis method for exploration behaviour in object recognition tests
Ibanez et al. Sci Rep 2023

We collaborate with the Ommer Lab to develop methods for automatic classification and quantification of sensorimotor behavior.

Unsupervised behaviour analysis and magnification (uBAM) using deep learning
Brattoli et al., Nature machine intelligence 2021

See code and further information on the homepage for the project: