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SUMMARY:NIH- 	Brain Initiative: New Concepts and Early-Stage Research for 
 Large-Scale Recording and Modulation in the Nervous System (R21)
DTSTART;VALUE=DATE:20150416
DTSTAMP:20260506T061823Z
UID:c86869766d40c7274614b87e7fbc43072a2c302eb0cfcbcdec58e34f
CATEGORIES:Call for proposal
DESCRIPTION:NIH Agency\nA central goal of the BRAIN Initiative is to under
 stand how electrical and chemical signals code information in neural circu
 its and give rise to sensations\, thoughts\, emotions and actions. Availab
 le technologies for recording and manipulating neural circuit activity in 
 human and animal experiments are not sufficient to accomplish this goal. N
 on-invasive technologies are low resolution and/or provide indirect measur
 es such as blood flow\, which are imprecise. Invasive technologies can pro
 vide information at the level of single neurons producing the fundamental 
 biophysical signals\, but they can only be applied to tens or hundreds of 
 neurons\, out of a total number in the human brain estimated at 85 billion
 . Previous BRAIN FOAs sought to develop novel technology (RFA-NS-15-003) o
 r to optimize existing technology ready for in-vivo proof-of-concept testi
 ng and collection of preliminary data (RFA-NS-15-004). This FOA seeks appl
 ications for technology at an even earlier stage of development. It seeks 
 new and untested ideas that are in the very earliest stages. The support p
 rovided might enable calculations\, simulations\, computational models\, o
 r other mathematical approaches for demonstrating that the signal sources 
 and/or measurement technologies are theoretically capable of meeting the d
 emands of large-scale recording or manipulation of circuit activity. The s
 upport might also be used for building and testing phantoms\, prototypes\,
  in-vitro or other bench-top models in order to validate underlying theore
 tical assumptions in preparation for future FOAs aimed at testing in anima
 l models. Invasive or non-invasive approaches are sought that will ultimat
 ely enable or reduce the current barriers to large-scale recording or mani
 pulation of neural activity\, and that would be compatible with experiment
 s in humans or behaving animals. Applications are encouraged from any qual
 ified individuals\, including physicists\, engineers\, theoreticians\, and
  scientists\, especially those not typically involved with neuroscience re
 search.
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STATUS:CONFIRMED
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