Skip to main content
INCF Neuroinformatics Assembly 2021
Purpose of the collection

The objective of the 2021 INCF Neuroinformatics Assembly was to provide a forum in which the neuroscience community can learn about the latest advancements in the application of the FAIR Guiding Principles in neuroscience and attend tutorials on the latest tools, methods, and neuroinformatics approaches that promote open, FAIR, and citable neuroscience. 

Sessions include:

  • Introduction to INCF and perspectives on FAIR neuroscience
  • Practical use cases for FAIR
  • FAIR approaches for computational neuroscience
  • FAIR approaches for neuroimaging research
  • FAIR approaches for electropysiology
  • Introduction to tools and infrastructure that support FAIR neuroscience
  • Introduction to data science and neuroinformatics
  • Introduction to open innovation and intellectual property
Courses in this collection
Since their introduction in 2016, the FAIR data principles have gained increasing recognition and adoption in global neuroscience. FAIR defines a set…
As models in neuroscience have become increasingly complex, it has become more difficult to share all aspects of models and model analysis, hindering…
Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability…
The course provides an introduction to the growing field of electrophysiology standards, infrastructure, and initiatives. From data curation on open…
Much like neuroinformatics, data science uses techniques from computational science to derive meaningful results from large complex datasets. In this…
The International Brain Initiative (IBI) is a consortium of the world’s major large-scale brain initiatives and other organizations with a vested…