Project Grant 2605859
- The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $500,000 Project Grant to the University of California, Davis (UC Davis) to understand how the brain supports decision-making processes. The three-year grant, awarded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to identify neural features that provide information about the decision-making process, build decoders to predict decisions, and develop a closed-loop...
- The National Science Foundation SBE Office of Multidisciplinary Activities awarded the University of California, Los Angeles $827,113 on August 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop computational cognitive models of open-ended decision making. The project combines laboratory and online experiments with choice-process measures—eye tracking, mouse tracking, and response times—to study how people make decisions when they generate options...
- The National Science Foundation Office of Multidisciplinary Activities awarded the University of Washington $1,942,525 on September 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to conduct research on how the brain learns and updates associations between sensory cues, actions, and outcomes while maintaining perceptual and motor stability. The project measures activity across thousands of individual neurons in mice as they perform operant decision-making and...
- The National Science Foundation Office of Multidisciplinary Activities awarded New York University $599,994 on September 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to investigate how human brains achieve cognitive efficiency and learn to think through multiple modes including planning, memory retrieval, and reasoning. The project, which runs through August 31, 2031, tests the theory that diverse human deliberation strategies emerge from a general principle...
- The National Science Foundation's Office of Multidisciplinary Activities awarded New York University $300,000 on August 15, 2026, for a collaborative research project developing optimal transport methods to compare neural representations across brains and artificial neural networks. The award supports research in the Collaborative Research: CRCNS (Collaborative Research in Computational Neuroscience) program. The project develops mathematical techniques based on optimal transport theory to...
- The National Science Foundation Division of Molecular and Cellular Biosciences awarded the Trustees of Boston University $1,035,226 on August 1, 2026, under the Biological Sciences program (CFDA 47.074) to investigate how populations of neurons across multiple brain areas coordinate to mediate flexible decision-making—the process of combining sensory evidence and context to select appropriate actions toward behavioral goals. The research examines neural dynamics underlying perceptual...
- The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $800,000 Project Grant to the California Institute of Technology (Caltech) to support research on "Neuronal Substrates Underlying the Construction of Value in Humans". This 3-year grant, which commenced on October 1, 2023, aims to investigate how the human brain forms personal preferences and makes value-based decisions. The research will use intracranial recordings in epilepsy patients to...
- Federal Grant Award Summary The Allen Institute received a $660,000 project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop computational models of neural representation and inter-areal communication in mouse visual cortex. Awarded June 1, 2025, with completion targeted for May 31, 2030, this collaborative U.S.-German research initiative integrates...
- The National Science Foundation SBE Office of Multidisciplinary Activities awarded the University of Delaware $399,556 on September 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to investigate the neural and cognitive systems underlying human evaluation of and collaborative decision-making with both human and artificial intelligence agents. The project uses functional magnetic resonance imaging to measure neural activity associated with impression...
- The National Science Foundation SBE Office of Multidisciplinary Activities awarded the University of California, San Diego $517,134 on August 15, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop mathematical methods for comparing neural representations across individuals and between human brains and artificial neural networks. The project develops optimal-transport-based techniques to measure how brains are alike and differ when responding to stimuli...
The National Science Foundation SBE Office of Multidisciplinary Activities awarded $2.225 million to the Allen Institute on September 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for a collaborative U.S.-Israel research project on decision-making neuroscience. The project builds computational theory connecting brain anatomy, multi-regional neural dynamics, and behavior during decision-making. The research develops recurrent neural network models that reconstruct neural activity across multiple brain regions at high resolution, informed by large-scale neuronal recordings and detailed anatomical connectivity maps. The team constructs an anatomically constrained generative model of decision-making with units representing brain regions, cell types, and neural projections, then uses computational perturbation to identify which regions and pathways alter behavior when silenced. The result is a unified model constrained jointly by neural activity, anatomy, and behavior that explains why decisions occur at particular moments and which aspects reflect chance versus circuit structure. The work aims to identify core circuit motifs underlying decision-making and has potential applications to artificial intelligence development. Performance occurs in Seattle, Washington, with a period of performance from September 1, 2026, through August 31, 2031.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.2m | 8/14/26 |