PyMICE - a Python™ library for analysis of mice behaviour
© Kowalski et al. 2015
Published: 18 December 2015
Manual analysis of abundant behavioral data produced by automated systems for long-time monitoring of a group of animals is extremely inefficient and error prone. Some systems (like IntelliCage™) are shipped with software enough for basic analysis of the data, however lacking flexibility for more advanced analyses.
To facilitate research reproducibility, same analysis of same data should always yield same results. One (possibly the best) way to achieve such robustness is to have the process automated (due to the IT slogan "let the computer do the work"), therefore reducing number of possible human errors. The other advantage of such approach is that modern computers are both faster and more precise than humans when dealing with numbers.
Sponsored by Symfonia NCN grant: UMO-2013/08/W/NZ4/00691
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