Project Grant 2512988
- This $100,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research at the University of Tennessee to develop improved mathematical models of how neural oscillators interact in the brain. The research aims to provide a better understanding of the connection between neural rhythms and cognitive function, which could lead to new treatment options for brain disorders caused by abnormal brain rhythms, such as...
- 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 $350,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The goal of the research is to develop accurate mathematical models and computer simulations for studying non-equilibrium systems with memory effects, such as those found in biosystems, plasma evolution, and solid-state nanostructures. The Principal Investigator will focus on analytical and numerical approaches to statistical transport...
- 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...
- This $400,000 Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports the development of a new hardware system designed to meet the increasing computational demands for sophisticated multi-scale brain models. The project aims to bridge the timescales between cognitive phenomena and the underlying neuronal processes, enabling more detailed computer simulations to advance fundamental neuroscience research and the translation of biological...
- The National Science Foundation awarded a $464,102 Project Grant to the New Jersey Institute of Technology under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research merging deep learning and mechanistic modeling to analyze electrophysiology related to circadian clocks, aging, cardiac arrhythmias, and Alzheimer's disease. Specifically, the grantee and collaborators at IBM Research and Purdue University will develop hybrid deep learning and...
- The National Science Foundation (NSF) awarded a $550,000 Project Grant under the Biological Sciences (CFDA 47.074) federal grant program to Georgetown University. The 5-year grant, effective April 1, 2025, supports research to understand how changes in the extracellular matrix surrounding synapses affect synapse stability and brain function. This work aims to uncover the mechanisms that preserve brain connectivity, with potential to inspire new strategies for addressing neurological disorders...
- This Project Grant award of $1,241,250.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project to investigate the role of brain waves in the prefrontal cortex during categorization decision-making tasks. The project involves a close collaboration between computational and experimental neuroscientists to leverage a neural modeling framework to link macroscale oscillatory brain activity...
- 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 $401,918 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research by the University of Rochester to investigate neural mechanisms underlying how the brain processes complex sounds like speech and music across different timescales. The key objectives are to use computational models and neural recordings from auditory cortex to understand the brain's flexible integration of sound information over...
This federal Project Grant award in the amount of $200,000 was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports fundamental research into mathematical techniques for modeling and analyzing strongly coupled neural oscillators, which is a necessary first step in developing new treatment options for brain disorders caused by abnormal brain rhythms. The research aims to advance the understanding of the biophysical mechanisms underlying short-term memory and cognitive function, with potential applications for conditions such as Alzheimer's disease. The award will fund graduate students and researchers at the interface of neuroscience, mathematics, and engineering, and includes outreach efforts to encourage high school students to pursue careers in STEM fields.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 8/15/25 |