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Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages

arXiv 2306.03066 ↗First posted 5 Jun 2023cs.CV cs.LG stat.MLcited by 0

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Abstract (arXiv)

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 home-cage 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. Our main contribution is the novel Group Behaviour Model (GBM) which summarises the joint behaviour of groups of mice across cages, using a permutation matrix to match the mouse identities in each cage to the model. In support of the above, we also (a) developed the Activity Labelling Module (ALM) to automatically classify mouse behaviour from video, and (b) released two datasets, ABODe for training behaviour classifiers and IMADGE for modelling behaviour.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 63 references that are in the map. First posted on arXiv 5 Jun 2023.

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References · 12

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2017On Calibration of Modern Neural Networkscited by 4,860
  3. 2019A Short Note on the Kinetics-700 Human Action Datasetcited by 308
  4. 2018Long-Term Feature Banks for Detailed Video Understandingcited by 239
  5. 2021Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimationcited by 192
  6. 2021The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactionscited by 31
  7. 2021Revisiting spatio-temporal layouts for compositional action recognitioncited by 19
  8. 2022MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behaviorcited by 12
  9. 2019Detection and Tracking of Multiple Mice Using Part Proposal Networkscited by 5
  10. 2020Muti-view Mouse Social Behaviour Recognition with Deep Graphical Modelcited by 5
  11. 2021Persistent Animal Identification Leveraging Non-Visual Markerscited by 2
  12. 2022Inference and Learning for Generative Capsule Modelscited by 2

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