Project Grant W911NF261A099

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...

This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $418,127 to Rensselaer Polytechnic Institute. The funding will support research investigating how people visually guide movement to satisfy goals over multiple time horizons through complex navigation tasks. Researchers will study human steering and gaze strategies using a custom virtual...

This Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences (CFDA 47.075 Social, Behavioral, and Economic Sciences) provides $386,744 to Vanderbilt University to investigate the components, correlates, and mechanisms of object recognition and visual decision-making abilities. The project aims to understand how and why individuals vary in their ability to make visual decisions, analyzing the performance of large participant groups across...

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

This four-year, $800,000 National Science Foundation project grant supports research at Baylor College of Medicine to elucidate the role of on and off visual pathways in object segmentation for escape behavior in grasshoppers and locusts. The research aims to better understand how the nervous system generates precise responses to visual stimuli associated with approaching objects to enable evasive actions. The grantee will gather experimental data and model the neural pathways responsible for...

Federal Project Grant Summary The National Institute of Neurological Disorders and Stroke (NINDS) awarded The Johns Hopkins University a $409,139 Project Grant on August 1, 2025, under the Extramural Research Programs in the Neurosciences and Neurological Disorders program (CFDA 93.853) to investigate the computational, behavioral, and neural mechanisms underlying state-driven active sensing. The research will span five years through June 30, 2030, and will examine how animals switch between...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $1,999,675 to The Pennsylvania State University ("Penn State") to develop a neuroscience-inspired visual analytics system for persons with visual impairments. The project envisions an energy-efficient, AI-powered cognitive assistant that can understand the visual field, reason about object relationships, and deduce how they relate to the user's goals, through novel...

This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) totaling $274,746 provides funding for the development of modular and updatable artificial intelligence capabilities for robotics. Optimizing Mind Inc. will utilize the award to create a novel computer vision architecture allowing robots to learn without rehearsal through corrections for real-world environmental details not present in training. This flexible...

This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER), under the Engineering program (CFDA 47.041), provides $320,000 in funding to the University of Texas at Arlington (UTA) to develop a novel extended reality (XR) system that leverages embodied cognition principles to assess attention deficit and other cognitive functions. The project aims to create immersive, interactive virtual environments where users engage in cognitively demanding tasks. The system...

This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...