Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01 Clinical Trial Optional)

EXplainable Artificial Intelligence (XAI) aims to provide strong predictive value along with mechanistic understanding by combining machine learning techniques with effective explanatory techniques.

This Funding Opportunity Announcement (FOA) solicits applications in the area of XAI applied to

neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior.

This FOA encourages collaborations between computationally and experimentally-focused investigators.

This FOA seeks machine learning algorithms able to mechanistically explain how experimental manipulations can improve cognitive, affective, or social processing in humans or animals.

Proof-of-concept applications aimed at improving the current state of the technology that use XAI to provide unbiased, hierarchical explanations of causal relationships between complex neural and behavioral data are also responsive.
Related Programs

Mental Health Research Grants

Department of Health and Human Services



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Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/pa-files/PAR-19-344.html

Additional Information of Eligibility:
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U. S. Territory or Possession.

Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/pa-files/PAR-19-344.html

Contact:


Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

Agency Email:


Date Posted:
2019-08-14

Application Due Date:


Archive Date:
2022-04-15



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