Project Grant 2512989
- 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...
- 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...
- 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...
- 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 University of Rochester will use a $552,068 project grant from the National Science Foundation to study the role of neural oscillations in coordinating competing cognitive processes. Funded through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), this three-year award beginning October 1, 2021 will support research examining how the brain coordinates multiple tasks simultaneously. The grant aims to advance understanding of cognitive functions through investigating...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $300,000 Project Grant to the University of California, San Diego (UCSD) for a collaborative research effort titled "Analysis and Control of Nonlinear Oscillatory Networks for the Design of Novel Cortical Stimulation Strategies." This 3-year project aims to develop new theories and tools to predict the onset and spreading of epileptic seizures, and to inform the use of novel electrical brain...
- 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...
- 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 federal Project Grant award of $370,687 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of South Carolina (UEI: J22LNTMEDP73). The project aims to establish a multiscale modeling framework to address neuroscience-related questions and demonstrate its capability by studying atypical neural activity in autism. The work is expected to develop analytical methods to further empower the...
- This Project Grant award of $1,999,999.00, funded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), supports research inspired by auditory perception in the human brain. The project aims to develop mathematical models to describe neural computations underlying the brain's remarkable ability to focus attention and enhance specific auditory signals while suppressing surrounding noise - a phenomenon known as the Cocktail Party Problem. The research involves engineering...
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 schizophrenia, autism, ADHD, and Parkinson's disease. The 3-year project will also involve outreach efforts to encourage high school students to pursue careers in engineering and mathematics, including a week-long research experience and national modeling contests. The work is expected to advance the mathematical understanding of emergent behaviors in neural systems and contribute to improving models of short-term memory loss in disorders like Alzheimer's disease.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 8/15/25 |