Project Grant 2441520
- This $234,610 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports collaborative research at Colgate University to study how the brain uses visual and linguistic information to achieve specific goals. The research aims to advance theories of human cognition and develop more adaptive, human-aligned artificial intelligence (AI) systems. Key project activities include training deep neural networks to predict...
- 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...
- 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 National Science Foundation project grant of $625,000 will fund research into the brain network mechanisms underlying task-general cognition and intelligent human behavior from September 2022 to August 2025. Under the federal Social, Behavioral, and Economic Sciences program (CFDA 47.075), Rutgers University, Newark will investigate how dynamic activity flows within cognitive control networks implement intelligent goal-directed behavior across diverse tasks. Researchers will utilize brain...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $378,352 to Barnard College to conduct research on how the brain uses visual and linguistic information to achieve specific goals. The project aims to understand the cognitive processes underlying goal-directed perception, using a combination of methods from visual AI, language AI, neuroscience, and cognitive science. Key activities include training deep neural...
- This $240,000 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research at Yale University to develop new computational frameworks that combine large language models with neural operator learning techniques. The goal is to improve the ability to model and analyze spatiotemporal phenomena in biomedical research, such as tracking cellular and brain processes over time and...
- 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 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 $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 $379,937 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a computational research project at Yale University investigating how humans infer social relationships and group dynamics. The project aims to develop a theory and computational model of "structure learning" - the psychological processes that allow people to learn about social relationships by observing patterns of interaction between individuals....
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 novel computational theories and models that interoperate at both the cognitive level of object representations and the neural level of distributed brain activity. It involves three studies testing competing hypotheses, using psychophysics and high-resolution neurophysiological data from human and non-human primate subjects. The award period runs from September 1, 2025 to August 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $301.8k | 8/26/25 |