A framework for analysis of mice behavior in Pytho

• Autorzy: Leski S.
• Języki publikacji: EN

Abstrakty

EN

An abundance of behavioral data can be obtained with the IntelliCage system. Basic analysis of the data can be performed with a tool provided with the system, however more advanced analyses have to be performed manually. One of disadvantages of manual analysis is its extreme unefficiency since it requires significant effort. Another disadvantage is that it is vulnerable to human errors. The analysis process can be easily automated with a programmable workflow. In this approach a researcher focuses his (or her) effort to design the workflow and let the computer do the work in which it performs better (in aspect of speed, precision and robustness) than a human. Once the workflow has been defined it is possible to reproduce the analysis on data acquired from other application of the experimental protocol facilitating reproducible research. A possibility of convenient access to data is crucial for programming a workflow. To facilitate it we are developing a Python framework which allows for easy loading of recorded data as well as accessing it in an intuitive manner. With the framework we develop a methodology for advanced analysis of these data. Developed analysis methods are being included into the framework providing its users with a powerful tool for their scientific work.

• Wydawca: -
• Czasopismo: Acta Neurobiologiae Experimentalis
• Rocznik: 2014
• Tom: 74
• Numer: 3
• Opis fizyczny: 368

Twórcy

autor

Leski S.

• Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland