This $300,000 five-year Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop new analytical tools and models to understand how the brain processes and routes sensory information. The project aims to integrate existing datasets of large-scale neural activity and anatomical connectivity to provide a mechanistic understanding of communications between brain regions. The research...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award of $329,099 to The Johns Hopkins University supports research to uncover the functional architecture of the brain and understand how different neural systems coordinate to enable flexible, robust intelligence. The project aims to develop new computational models to analyze brain activity data and identify the subsystems underlying key behaviors like navigation and...
This $487,362 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is funding a project to develop a unified computational framework for accurately reconstructing densely labeled neural circuits in the brain. The key objectives are to: Generate super-resolution 3D images of whole Drosophila brains with labeled connected neurons using multispectral labeling techniques. Create computer vision and...
This National Science Foundation (NSF) CAREER Program grant, awarded under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, provides $320,000 in funding to Northeastern University to investigate the neurocognitive development of adolescent learning. The project aims to understand the cognitive and brain mechanisms related to learning from experience and how these change from childhood through adolescence and young adulthood. Using behavioral, computational, and neuroimaging...
This $164,186 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of innovative computing systems inspired by the structure and function of the human brain. The project aims to create advanced human brain organoids (HBOs) - miniature 3D models of the human brain grown from stem cells in a lab - and integrate multiple HBOs into new computing architectures that are...
This $778,024 Project Grant awarded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will support a 3-year longitudinal study to examine neurobiological and contextual factors that contribute to successful transition from adolescence to adulthood. The research team at the University of California, Los Angeles (UCLA) will use fMRI, behavioral measures, and questionnaires to test hypotheses that neural reward sensitivity, tolerance...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $200,000 to Emory University to develop new methods for modeling the dynamics of brain graphs derived from neuroimaging data. The 3-year project, starting on October 1, 2023, aims to create a unified framework of brain graph ordinary differential equations (BrainGDE) that integrates advanced deep graph learning techniques and ordinary differential...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $124,588 to the University of Notre Dame to investigate how physical forces, specifically axonal tension or the pulling forces exerted by nerve fibers, shape the complex folded structure of the human brain. The primary hypothesis is that axonal tension helps determine the placement of cortical folds and ensures efficient axonal connections. The research aims to develop advanced...
The National Science Foundation (NSF) awarded a $593,662 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Maryland, College Park. The grant supports the development of an asynchronous distributed machine learning framework for collaborative analysis of brain imaging and genomics big data across multiple research sites. Key objectives include: 1) designing new asynchronous distributed algorithms for genome-wide association studies and...
This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CISE) program awards $602,466 to President and Fellows of Harvard College to develop new theoretical frameworks and mathematical models that elucidate how neural networks in the brain learn. The 5-year project, starting on October 1, 2023, aims to advance the understanding of brain function and integrate the research findings into educational and outreach efforts. Key focus areas...