Project Grant 2316474
- This three-year Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $475,715 to Vanderbilt University to advance understanding of how visual long-term memory guides visual attention and perception. The researchers will use electroencephalography to record brain activity from participants searching for objects in cluttered scenes. Analyses will reveal whether brain...
- This Project Grant award of $624,041 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research by the University of California, Davis to investigate the efficiency of visual search tasks. The project aims to understand the organizing principles that enable efficient visual search, which is critical for many everyday activities. The research uses behavior, eye-tracking, virtual reality, brain activity, and computational modeling to...
- 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...
- This $212,008 federal Project Grant award, funded by the National Science Foundation (NSF) Integrative Activities (IA) program (CFDA 47.083), supports research at North Dakota State University (NDSU) on the visual perception of meaning and face recognition in children aged 5-12 years old. The project investigates how children's tendency to detect "pareidolic" or accidental faces in random visual noise patterns changes as they gain more experience with the visual world. The research...
- 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...
- The National Science Foundation awarded a $281,367 Project Grant to the Rochester Institute of Technology under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The three-year award will fund research into visual perception of three-dimensional object shape from patterns of image shading and contours. The researchers will study how the human visual system processes and interprets information about an object's 3D properties. They will incorporate optical effects typically...
- The Trustees of the University of Pennsylvania were awarded a three-year, $539,985 Project Grant from the National Science Foundation Division of Behavioral and Cognitive Sciences. The grant will support research from October 2021 through September 2024 to further understanding of the neural mechanisms that enable remarkable visual fidelity in visual recognition memory. This award falls under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). The program aims to advance...
- This National Science Foundation Project Grant of $519,793 will fund research into visual working memory representations at the University of California, San Diego from July 2022 to June 2025. The award is part of the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research in cognitive sciences. The research will test theories of how visual working memory holds probabilistic information about object features rather than single values. Using...
- 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 $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...
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 multiple tasks. It explores the structure of abilities that support object recognition, how they relate to established abilities, predict expertise acquisition, and the underlying mechanisms driving individual differences. The project is developing a range of psychometrically robust tasks to study perceptual and mnemonic components of object recognition. It will assess the incremental predictive power of object recognition abilities for expertise in real-world domains like satellite imagery analysis and dermatology. The project also investigates three key mechanisms: perceptual differentiation, statistical learning, and dimensional learning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $386.7k | 7/24/23 |