Automated monitoring and analysis of rodent behavior
Neurobehavioural analysis of mouse phenotypes requires the monitoring of mouse behaviour over long periods of time. We are currently developing trainable computer vision systems enabling the automated analysis of complex mouse behaviors.
Automated quantitative analysis of mouse behaviour will have a significant role in comprehensive phenotypic analyses both on the small scale of detailed characterization of individual gene mutants and on the large scale of assigning gene function across the entire mouse genome. One key benefit of automating behavioural analysis arises from inherent limitations of human assessment, namely, cost, time and reproducibility. Although automation in and of itself is not a panacea for neurobehavioural experiments, it allows for addressing an entirely new set of questions about mouse behaviour and to conduct experiments on time scales that are orders of magnitude larger than those traditionally assayed. For example, reported tests of grooming behaviour span time scales of minutes, whereas an automated analysis will allow for analysis of this behaviour over hours or even days and weeks.
Brown faculty collaborators:Christopher Moore
Other project collaborators:Hueihan Jhuang (MPI)
Tracey Petryshen (Broad Institute)
Tomaso Poggio (MIT)
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