National Institute of Health

BRAIN Initiative: Brain Behavior Quantification and Synchronization (R61/R33 Clinical Trial Optional)

This Funding Opportunity Announcement (FOA) supports the development and validation of next-generation tools, methods, and analytic approaches to precisely quantify behaviors and combine them with simultaneous recordings of brain activity in humans. Tools used for measuring and analyzing behavior should be multi-modal, with the appropriate accuracy, specificity, temporal resolution, and flexibility necessary for integration with existing tools used to measure and modulate the brain circuits that give rise to those behaviors.

Notice of Special Interest (NOSI): BRAIN Initiative: Mentored Clinician Scientist Research Career Development program to Develop Expertise in Intracranial Human Neuroscience Research (K08)

The purpose of this Notice of Special Interest (NOSI) is to promote the availability of Mentored Clinician Scientist Research Career Development Awards (K08) applications in research areas covered by the NIH BRAIN Initiative®. This program will provide support and protected time (3-5 years) for clinicians to develop new and/or expand their expertise in intracranial human neuroscience research.

Building the Prototype Open Knowledge Network (Proto-OKN)

This program supports the creation of a prototype Open Knowledge Network — an interconnected network of knowledge graphs supporting a very broad range of application domains. Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world.

BRAIN Initiative: Brain-Behavior Quantification and Synchronization – Transformative and Integrative Models of Behavior at the Organismal Level (R34 Clinical Trial Not Allowed)

This Funding Opportunity Announcement (FOA) seeks applications with limited scope proposing a set of planning activities that will lay the groundwork for a scientific project aimed at integrating complementary theories and methods to 1) develop, validate, and apply cutting-edge tools and methods for minimally invasive, multi-dimensional, high-resolution measurement of behavior at the level of the organism, with synchronous capture of changes in the organism’s social or physical environment; and/or 2) develop computational methods that allow for integration of multidimensional behavioral and