Project Grant 2522066
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $260K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Providence, RI 02912, USA
Similar Awards
- This NSF-BSF project grant award of $233,958 to Brown University will support research to investigate the interdependence between perception, cognition, and action. The project aims to understand how specific actions can influence visual perception, and which aspects of visual processing are improved when preparing to act. It will use a combination of behavioral, psychophysical, physiological, and computational approaches. The research team will also engage in outreach activities to promote...
- This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $750,000 to Brown University to develop and test a novel computational model of cognitive control in the human brain. The project aims to gain a deeper understanding of the neural computations underlying humans' flexible, goal-directed behavior, which has implications for understanding disorders of cognitive control and informing the design of...
- Brown University received a $499,996 Project Grant award from the National Science Foundation to support research titled "A TEST OF A NOVEL NON-PROBABILISTIC MODEL OF 3D CUE INTEGRATION" from September 1, 2021 through August 31, 2024. The grant was awarded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields as well as monitoring science resources. Through this funding, Brown University...
- This $483,129 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research to advance understanding of human visual perception and scene processing. The project seeks to test whether state-of-the-art AI vision-language models can generate plausible visual scenes that mimic how the human brain perceives objects in peripheral vision during everyday activities. The research aims to provide insights into the...
- Brown University was awarded a $408,677 Project Grant from the National Science Foundation Office of International Science and Engineering under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) for the period of September 1, 2021 through August 31, 2024. The grant funds collaborative research between Brown University researchers and their partners to study how emergent motor timing influences perceptual learning. The research is expected to contribute to...
- This $1,090,678 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop computational algorithms that align deep neural networks (DNNs) with human visual processing. The project aims to rectify the growing "misalignment" between the behavior of large-scale DNNs and human cognition as AI systems become more capable. Researchers at Brown University will combine human...
- 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 (NSF) Division of Information and Intelligent Systems (CFDA #47.070) $1,034,326 Project Grant awarded to Brown University supports collaborative research to bridge the semantic-metric gap in multinocular 3D vision systems. The project aims to address key technical challenges in 3D computer vision, such as handling blurry/textureless images, leveraging redundant image data, and connecting geometric point clouds to semantic scene representations. The research...
- This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $443,888 to the Research Foundation of the City University of New York (RFCUNY) to test theories of perceptual valuation using advanced machine learning and artificial intelligence (AI) techniques. The project aims to: 1) determine if deep neural network machine learning models can serve as proxies for people's internal models of visual objects, 2)...
- This federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research project to investigate the role of brain waves in decision-making and categorization processes. The $722,109 award to Brown University will leverage computational modeling and electrophysiological experiments in humans and animals to better understand how the prefrontal cortex utilizes different beta...
This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $259,552 to Brown University to investigate the role of perceptual uncertainty in behavioral errors. The project aims to challenge theoretical assumptions about how the brain processes degraded visual information to enable complex actions, such as reaching for partially occluded objects. The research has implications for designing more robust AI and robotic systems for national security and public safety applications, as well as developing advanced vision-based prosthetics and living environments for individuals with low vision. The award period runs from September 1, 2025 to August 31, 2028.
Generated 10/21/25, 4:43 AM
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $259.6k | 8/27/25 |