This National Science Foundation project grant award of $299,323 provides funding for research services at the University of Oklahoma from April 15, 2022 through March 31, 2024. The award is made through the Integrative Activities program (CFDA 47.083), which supports activities to build STEM capacity and broaden participation in research. Specifically, the award will fund the development of a novel mesoscopic imaging technique to investigate functional neuronal connections in the mouse...
This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $630,000 to the University of Chicago to develop a new technology called the Monolithic Adjustable Photostimulation (MAP) platform for high spatiotemporal photostimulation of the nervous system. The project aims to create minimally-invasive, optically-controlled neuromodulation devices using advanced silicon heterojunctions that can precisely stimulate neural circuits, with the goal...
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 Project Grant award of $199,999 from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research effort between the University of Chicago and Swiss partners to advance the understanding of the neural and behavioral underpinnings of working memory. The goal is to clarify the cognitive role of neurally active representations in working memory and examine whether there are specific operations that require...
The University of Chicago was awarded a $499,999 Project Grant from the National Science Foundation on May 1, 2021 to complete work by April 30, 2024. The grant is part of the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which aims to promote basic research and education in these fields. Under the award, the University will predict attention fluctuations and their consequences for memory from functional brain connectivity. The research will contribute to scientific...
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 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...
The University of Chicago was awarded a $238,603 project grant from the National Science Foundation to conduct research at the intersection of conformal field theory, cryo-electron microscopy, and neural networks from July 1, 2021 through June 30, 2024. The grant was awarded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the nation's scientific enterprise through increased understanding of major problems. Through this funding, the University...
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 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...