BRAIN: Brain Research through Advancing Innovative Neurotechnologies
The BRAIN Initiative extends beyond the mapping of the brain and bridges scales that span from atoms to thoughts and behavior, linking what is known about single cells and subcellular activities in the brain to whole brain function leading to complex behavior. This initiative holds great promise for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for nervous system disorders or traumatic brain injury, and for generating brain-inspired "smart" technologies to meet future societal needs.
NSF is uniquely positioned to foster BRAIN Initiative research by bringing together a wide range of scientific and engineering disciplines, and empowering these national and international communities whose members are poised to cooperatively pursue and reveal the fundamental principles and processes underlying memories, thoughts and complex behaviors.
Despite major technological advances of recent decades, we lack an understanding of how the brain functions in both spatial and temporal domains. The NSF BRAIN Initiative aims to generate an array of physical and conceptual tools needed to determine how healthy brains function over the lifespan of humans and other organisms; and to develop a workforce to create and implement these tools aimed at establishing a more comprehensive understanding of how thoughts, memories and actions emerge from the dynamic activities in the brain.
BRAIN Thematic Areas:
Future Advances and Challenges: The NSF BRAIN Initiative promises innovative and integrated solutions to challenges in our ability to predict how collective interactions between brain function and our physical and social environment enable complex behavior. NSF's strategic investments will support research and infrastructure designed to transform our view of who we are and how we relate to and interact with each other and our ever-changing environment.
- Multi-scale integration of the dynamic activity and structure of the Brain
Credit: Christine Daniloff
- Neurotechnology and Research Infrastructure
Credit: Jeff Lichtman, Harvard University
- Quantitative Theory and Modeling of Brain Function
Credit: "Synapse Revealed", created by Graham Johnson of grahamj.com for HHMI
- Brain-Inspired Concepts and Designs
Credit: John Consoli, University of Maryland
- BRAIN Workforce Development
Credit: Thomas Deerinck and Mark Ellisman
"Understanding the Brain" title image credit: Deisseroth Lab
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