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Improving Usability of Core Neuroscience Analysis Tools with MNE-Python

Project MNE-Python

Daniel McCloy (University of Washington)

Funding Cycle 2

Proposal Summary

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.

Key Personnel

Daniel McCloy