The Morris Water Maze is a widely used task in studies of spatial learning with rodents. Classical performance measures of animals in the Morris Water Maze include the escape latency and the cumulative distance to the platform. Other methods focus on classifying trajectory patterns to stereotypical classes representing different animal strategies. However, these approaches typically consider trajectories as a whole and as a consequence they assign one full trajectory to one class, whereas animals often switch between these strategies and their corresponding classes, within a single trial. To this end, we take a different approach: we look for segments of diverse animal behaviour within one trial and employ a semi-automated classification method for identifying the various strategies exhibited by the animals within a trial. Our method allows us to reveal significant and systematic differences in the exploration strategies of two animal groups (stressed, non-stressed), that would be unobserved by earlier methods.
Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial
Tiago V. Gehring,G. Luksys,C. Sandi,E. Vasilaki
Published 2015 in Scientific Reports
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- Publication year
2015
- Venue
Scientific Reports
- Publication date
2015-10-01
- Fields of study
Biology, Medicine, Computer Science
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- Source metadata
Semantic Scholar, PubMed
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