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Introduction to the FAIR approaches for computational neuroscience

Difficulty level

As models in neuroscience have become increasingly complex, it has become more difficult to share all aspects of models and model analysis, hindering model accessibility and reproducibility. In this session, we will discuss existing resources for promoting FAIR data and models in computational neuroscience, their impact on the field, and the remaining barriers. This lecture introduces the FAIR principles, how they relate to the field of computational neuroscience, and the resources available.

Topics covered in this lesson
  • Overview of FAIR principles
  • Themes for FAIR principles in computational neuroscience
  • Examples of resources