Resources

Program
  • Understanding Circuits
  • Investigative Human Neuroscience
Resource Type
  • Research Tool
Priority Area
  • Theory & Data Analysis Tools
Summary

The Human Neocortical Neurosolver (HNN) is a new user-friendly software package for circuit level interpretation of human EEG/MEG data. The foundation of HNN is a computational neural model that simulates the electrical activity of the neocortical cells and circuits that generate the primary electrical currents underlying EEG/MEG recordings. HNN is a free open source package that was designed for researchers and clinicians, without computational neural modeling experience, to develop and test hypothesis on the circuit origin of their data.

Program
  • Understanding Circuits
Resource Type
  • Grant Application Resource
Priority Area
  • Human Neuroscience
  • Integrated Approaches
  • Interventional Tools
  • Monitor Neural Activity
Summary

Integrative and Quantitative Approaches to Understanding Circuits

Program
  • Understanding Circuits
Resource Type
  • Grant Application Resource
Priority Area
  • Integrated Approaches
  • Theory & Data Analysis Tools
Summary

Informational Phone Call with program directors for all those interested in submitting applications to EB-15-006.
Contact: BRAINTheoriesFOA@mail.nih.gov

Program
  • Cell Census Network (BICCN)
  • Understanding Circuits
  • Technology Development
Resource Type
  • Research Tool
Priority Area
  • Cell Type
  • Circuit Diagrams
  • Human Neuroscience
  • Integrated Approaches
  • Interventional Tools
  • Monitor Neural Activity
  • Theory & Data Analysis Tools
Summary

The BRAIN Initiative supports the development of a diverse portfolio of biomolecular tools and emphasizes their rapid and broad dissemination to the research community. Browse the Addgene collection of plasmids created with support from the BRAIN Initiative below.