Project Grant 2408407

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $267K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
New Paltz, NY 12561, USA
Similar Awards
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Pittsburgh to develop new analytical tools and computational models to understand how the brain selectively processes relevant information and coordinates information flow across brain regions. The project aims to integrate existing datasets on large-scale neural activity and anatomical connectivity...
This $370,687 federal Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will support a multiscale modeling and analysis framework to study the brain and its disorders, with a focus on understanding neural mechanisms in autism. The project aims to develop an integrative modeling approach that links cellular-level mechanisms to whole-brain dynamics, using a combination of spiking neural networks and neural...
This federal Project Grant award of $299,792.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research on multi-state bootstrap percolation on directed graphs as a framework for analyzing neuronal network activity and dynamics. The principal investigator will develop novel mathematical methods to study how neuronal activity spreads in networks, how it depends on network connectivity patterns, and identify key properties of...
This National Science Foundation (NSF) Project Grant award, under the STEM Education (CFDA 47.076) program, provides $150,000 in funding to Lehigh University for a collaborative research project titled "DYNAMIC BRAIN GRAPH MINING - MAPPING THE CONNECTIONS IN HUMAN BRAINS AS NETWORKED SYSTEMS." The project aims to develop new methods for modeling the dynamics of brain graphs derived from neuroimaging data, in order to generate accurate, interpretable, and fair predictions about...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program, with CFDA Number 47.070, provides $1,241,250.00 in funding to the Research Foundation For Mental Hygiene, Inc. (RFMH) to conduct collaborative research on uncovering the brain mechanisms and meaning of brain rhythm frequency shifts during decision-making and categorization tasks. The research, which will be performed in partnership with...
This Project Grant award of $438,719 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to develop theoretical methods for analyzing whole-brain connectome data. The project aims to accelerate the development of scalable approaches that can handle the complexity and heterogeneity of real nervous systems, as well as facilitate the recruitment and training of interdisciplinary scientists to work with these...
This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at Carnegie Mellon University to develop methods for uncovering the hidden interconnections among the components of complex networked dynamical systems. The project aims to infer the connectivity structure of systems like brain networks, power grids, and pandemic spread models where only a subset of the nodes or agents can be directly...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $250,000 Project Grant to the University of Central Florida (UCF) under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year grant, effective August 1, 2023 through July 31, 2026, supports research to develop extensions and analytical techniques for Generalized Dot Product Graph (GDPG) network models, with a focus on applications in brain science, medical research, molecular biology,...
This $329,099 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant aims to develop new computational models to uncover the functional architecture of the brain and its role in enabling complex behaviors like navigation and decision-making. Specifically, the project will: Identify the brain systems underlying navigation in zebrafish larvae using advanced optical imaging...
This $275,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support collaborative research to develop new statistical approaches for comparing and aligning networks. The research will focus on investigating optimal transport-based distances for Markov embeddings of networks, developing new methods for network alignment and comparison, and establishing theoretical results about these approaches. The...

This $266,538 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research on the effects of connectivity architecture and distributed delays in brain network dynamics. The project aims to establish a quantitative framework that considers both spatial connectivity and temporal history of neural interactions, using networks of coupled equations with time delays. The research team, led by The Research Foundation for the State University of New York, will develop general network models, perform numerical simulations, and integrate the new mathematical approach with empirical brain data to investigate how timing impacts information propagation in neural circuits. The project will support a vertically integrated team including a postdoctoral fellow, a co-advised Ph.D. student, and five undergraduate students from underrepresented groups, with the goal of understanding physiological mechanisms behind neurological and psychiatric illnesses. No sub-awards are planned under this grant, which has an award period from October 1, 2024 to September 30, 2027.

Generated 5/13/25, 4:53 AM