Project Grant 2508419
- This federal Project Grant award, funded by the National Science Foundation (NSF) through the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research project between the Allen Institute and Jülich Research Centre. The $660,000 grant, awarded on June 1, 2025, with a completion date of May 31, 2030, aims to develop computational models that integrate large neuroscience datasets to improve understanding of how different brain areas work...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 3-year project, running from June 1, 2025 to May 31, 2028, aims to investigate the computational mechanisms underlying a recently discovered neural process in the brain - the ability of neurons in the early visual cortex to rapidly form local recurrent circuits. The project seeks to...
- This $580,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems will fund research to develop more biologically realistic computational models of the primate visual system. Awarded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant supports work at the University of California, San Diego from September 15, 2022 to August 31, 2025. The research aims to incorporate key features of human vision missing from...
- The National Science Foundation awarded Northwestern University a $532,579 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2021 through September 30, 2024. The grant funds collaborative research to develop design guidelines for dynamic visualizations. The Computer and Information Science and Engineering program supports investigator-initiated research and education in computing, communications, and...
- This Project Grant award of $503,740 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of new probabilistic models and scalable machine learning techniques for analyzing complex spatiotemporal data, with a focus on applications to mapping dynamic brain connectivity. The principal investigator at Stanford University will create transformative tools for modeling high-dimensional spatiotemporal datasets, addressing...
- This Project Grant award, titled "CAREER: IDENTIFYING AND MODELING SENSORIMOTOR PATHWAYS IN WHOLE-BRAIN CONNECTOMES," is provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA #47.070) federal grant program. The $438,719 award to The Trustees of Columbia University in the City of New York will support research to develop theoretical methods for analyzing large-scale brain connectivity data, known as connectomes. The project...
- This federal Project Grant award of $301,800.00 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports a research project led by Yale University to study the neural mechanisms of object cognition using multilevel computational modeling. The overarching hypothesis is that the brain implements object cognition by building and manipulating generative models of physical scenes, their dynamics, and sensory inputs. The project aims to develop...
- This National Science Foundation Project Grant award of $299,126 will fund research at the University of Chicago from March 1, 2022 through February 29, 2024 to infer neuronal activity from anatomical connectivity maps in simplified neural cell cultures. The goal is to develop methods for understanding how physical wiring relates to activity in neural networks, which can later be applied to whole brain maps. Researchers will record functional activity from a 2D neural cell network, map...
- 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...
- This $425,875 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program. The award was granted to The Leland Stanford Junior University (Stanford University) to develop new computational and statistical methods to analyze high-dimensional neural recording and behavioral video data. The goal is to better understand how the brain produces natural behavior by linking brain activity to...
This federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) grant program (CFDA 47.070) provides $159,694 to Northwestern University to conduct ensemble modeling research on the visual system connectome. The research aims to quantitatively link synaptic connectivity and neuronal activity to advance the understanding of how the brain generates and processes visual information. Key activities include mathematical modeling, neuronal activity measurements, and synapse-resolution neuroanatomy to build and test biologically realistic neural network models of visual functions. The award period runs from September 1, 2025 to August 31, 2028. The research will produce advanced theoretical methods, annotated datasets, and new experiments that will be shared with the broader scientific community.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $159.7k | 7/29/25 |