This lesson discusses FAIR principles and methods currently in development for assessing FAIRness.
In this lesson, you will learn about the current challenges facing the integration of machine learning and neuroscience.
This lesson provides a brief overview of the Python programming language, with an emphasis on tools relevant to data scientists.
The lecture provides an overview of the core skills and practical solutions required to practice reproducible research.
This lecture covers the description and brief history of data science and its use in neuroinformatics.
This lesson provides an overview of self-supervision as it relates to neural data tasks and the Mine Your Own vieW (MYOW) approach.