Project Grant 2547344
- Federal Grant Award Summary The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $425,875 to The Leland Stanford Junior University on August 1, 2025, for a five-year CAREER grant extending through July 31, 2030. This project delivers novel computational and statistical methods for analyzing neural and behavioral data through the development of state space models (SSMs). The research addresses a critical...
- Federal Grant Award Summary The Leland Stanford Junior University received a $249,000 project grant from the National Institute of Child Health and Human Development under the Child Health and Human Development Extramural Research program (CFDA 93.865), effective August 1, 2025, through July 31, 2028. The award supports research to predict long-term neurodevelopmental outcomes in preterm infants through multimodal neuroimaging techniques and environmental factor analysis. The research integrates...
- Federal Grant Award Summary This postdoctoral fellowship award, funded by the National Science Foundation's Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $160,000 in support to an early-career scientist at the University of Pennsylvania under the sponsorship of Dr. Theodore Satterthwaite. Awarded September 1, 2025, with completion targeted for August 31, 2027, this project will advance understanding of cortical...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $503,740 CAREER grant to Stanford University beginning August 1, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project develops probabilistic machine learning models and computational tools designed to analyze spatiotemporal data with scalability and accuracy improvements. The core deliverables include modular...
- Federal Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded the University of California Santa Cruz $1,958,603 in Project Grant funding (Award Date: August 1, 2025; Project Period: August 1, 2025–July 31, 2029) to develop an experimental and computational framework for exploring the learning and computational capabilities of human brain organoids derived from induced pluripotent stem cells (iPSCs). The primary deliverables include the design...
- Federal Project Grant Award Summary The National Science Foundation awarded The Leland Stanford Junior University a Project Grant of $1,025,097 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on August 15, 2025, with completion scheduled for July 31, 2028. This project develops deep learning artificial intelligence (AI) models to enable early detection of Autism Spectrum Disorder (ASD) in children under six years old by analyzing video data collected...
- Federal Project Grant Award Summary The National Eye Institute (NEI) awarded The Leland Stanford Junior University a $423,500 Project Grant under the Vision Research program (CFDA 93.867) beginning August 1, 2025, and concluding July 31, 2027. This project delivers advanced neuroimaging research investigating the physiological effects of transcranial ultrasound stimulation (TUS) on the human brain. The research employs multimodal complementary neuroimaging techniques—including blood oxygen...
- This $577,409 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research at American University to study infant visual object recognition and its implications for computational models of human vision. Over a three-year period from September 2022 to August 2025, researchers will use electroencephalography to analyze how 12-15 month old infants represent and process visual objects. Results will be compared to predictions from...
- Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded $443,888 to the Research Foundation of The City University of New York (RFCUNY) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) on September 1, 2025, for a three-year project extending through August 31, 2028. The project combines category learning with machine vision models to investigate how individuals make aesthetic value judgments about visual objects...
- Federal Grant Award Summary The National Eye Institute (NEI) awarded Stanford University a $847,000 Project Grant effective September 1, 2025, through August 31, 2027, under the Vision Research program (CFDA 93.867). The award funds research to validate transcranial ultrasound stimulation (TUS) as a noninvasive neuromodulation technique capable of focally modulating brain activity in humans. This research addresses a critical gap in neuroscience by providing the first potential tool for...
The National Science Foundation's Office of Multidisciplinary Activities awarded Stanford University a $795,439 Project Grant (CFDA 47.075, Social, Behavioral, and Economic Sciences program) effective July 1, 2026 through June 30, 2029 to investigate the functional and microstructural development of the human visual system from infancy through young adulthood. The project delivers comprehensive neuroimaging research and developmental brain charts documenting how brain structure and function evolve together within the ventral visual stream—a critical neural pathway supporting face recognition, place recognition, reading, and visual decision-making. Utilizing functional magnetic resonance imaging (fMRI) to measure brain responses and quantitative MRI (qMRI) to assess tissue properties, the research team produces empirical datasets and developmental trajectories that establish normative baselines for visual system maturation across the lifespan. The research outputs include brain development charts and biological characterization of pediatric brain tissue that integrate indirect qMRI measurements with direct tissue analysis from rare pediatric brain samples. These products advance scientific understanding of how developmental changes in brain responses and tissue properties are mechanistically linked, with potential applications for early detection of developmental delays and improved clinical outcomes. The work may additionally inform the development of biologically-inspired artificial intelligence systems with adaptive, growth-based designs that mirror natural neural development, contributing to both basic neuroscientific knowledge and translational applications in clinical assessment and computational innovation.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $795.4k | 6/1/26 |