Improving Usability of Core Neuroscience Analysis Tools with MNE-Python
Daniel McCloy (University of Washington)
To enhance usability of MNE-Python through improvements to its computational efficiency, API, interactive visualization capabilities, and the clarity and consistency of documentation.
MNE-Python is an open-source Python module for neuroscience data analysis. It implements many neuroscience-specific algorithms and statistical tools; has rich visualization capabilities that are both interactive and fully scriptable (for reproducibility); and integrates easily with general-purpose libraries like SciPy, Scikit-learn, and TensorFlow.