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scikit-learn is an open source Pythonmodule for machine learning built on NumPy, SciPy and matplotlib. It offers simple and efficient tools for predictive data analysis and is reusable in various contexts.
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk.
The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem.
This packages may be useful for people who start using OpenElectrophy and circular...