Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages
Camilleri, Michael P. J., Bains, Rasneer S., Williams, Christopher K. I.
–arXiv.org Artificial Intelligence
Behavioural experiments often happen in specialised arenas, but this may confound the analysis. To address this issue, we provide tools to study mice in the homecage environment, equipping biologists with the possibility to capture the temporal aspect of the individual's behaviour and model the interaction and interdependence between cage-mates with minimal human intervention. We develop the Activity Labelling Module (ALM) to automatically classify mouse behaviour from video, and a novel Group Behaviour Model (GBM) for summarising their joint behaviour across cages, using a permutation matrix to match the mouse identities in each cage to the model. We also release two datasets, ABODe for training behaviour classifiers and IMADGE for modelling behaviour.
arXiv.org Artificial Intelligence
Jun-5-2023
- Country:
- North America > United States (0.28)
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Health & Medicine > Therapeutic Area
- Genetic Disease (0.46)
- Neurology (0.46)
- Health & Medicine > Therapeutic Area
- Technology: