Course Catalog
Tools for reproducible computational research: VSCode and Jupyter for interactive coding, Conda and Pixi for environment management, and Git and GitHub for version control and collaboration.
Compact one-day course covering data analysis with Numpy and Pandas, visualization with Matplotlib, and statistical tests using real neuroscience data.
Analysis techniques for high-dimensional electrophysiology data. Learn state-of-the-art methods to analyze recordings from hundreds of neurons during complex behaviors—essential for modern systems neuroscience.
Tools and Techniques for Data Management and Processing in Neuroscience