Project Grant 2135859
Award Date
8/1/21
Completion Date
12/31/23
Dollars Obligated
$371K
Funding Federal Agency
Division of Biological Infrastructure
Awarding Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Provo, UT 84602, 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...
Brigham Young University received a $178,859 Project Grant award from the National Science Foundation under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to develop statistical methodologies for analyzing high-dimensional functional data. The award period is from August 1, 2023 through July 31, 2026. Specifically, Brigham Young University will develop novel tools including a regularized inverse correlation operator estimator and models of underlying separability...
This Project Grant award of $283,596.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research on using bioelectronic devices to monitor brain activity and identify neurophysiologic signatures of emerging cognition in developing rodents. The goal is to gain insights into the formation of brain circuits that support complex cognitive functions. Key activities include developing soft, conformable...
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 $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 University of Utah will receive $500,000 over three years from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: NCS: FO: ENHANCING EPISODIC MEMORY THROUGH REAL-WORLD INTEGRATION OF BRAIN RECORDING AND STIMULATION WITH SEMANTIC ALIGNMENT OF HUMAN AND IOT PERCEPTION." The research aims to advance...
The National Science Foundation Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...
The University of Michigan was awarded a $1.1 million Project Grant from the National Science Foundation Division of Mathematical Sciences under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from September 2021 through August 2025 to develop new statistical learning methods for brain-computer interfaces. As part of the Computer and Information Science and Engineering program's goals of supporting investigator-initiated research and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $497,881 to San Diego State University Foundation for the development of a ubiquitous brain-computer interface (UBCI) system. The UBCI framework aims to enhance both cognitive and motor functions by analyzing neural signals from multiple brain regions and leveraging diverse features to accurately decode user intent in real-time. The research...
This $193,155 three-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Brigham Young University to develop a mathematical framework describing how sparse network structures can effectively process information and aggregate it in ubiquitous real-world network patterns. The project aims to advance understanding of how network topology impacts machine learning algorithms' ability to learn from data, starting with...