This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $174,998 to The Johns Hopkins University to develop and refine a computational model of spatial navigation and spatial representation. The research team will use neural data obtained from animals navigating in very large rodent mazes, known as "megaspaces," to explore the influence of stationary landmarks and moving obstacles on...
This Project Grant award of $329,099 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research by The Johns Hopkins University to uncover the principles of robust intelligence by disentangling the functional architecture of the brain. The project aims to develop new models to understand how brain computation is distributed across neural and glial systems to support flexible and adaptive behaviors like navigation and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award totaling $186,772 provides funding to Rutgers, The State University from January 1, 2025 to October 31, 2025 to develop a data-driven, systemic model of hippocampal spatial learning. The research aims to establish a computational framework that can link experimental observations of individual neurons and synapses to the emergent cognitive outcomes of spatial...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) project grant, awarded to the University of California, Santa Barbara (UCSB), aims to decipher how neural circuits in fruit flies extract and preprocess visual features for navigation. The $350,000 award, spanning from March 1, 2025 to February 28, 2030, will investigate the anterior visual pathway that encodes the fly's sense of direction, with the goal of developing anatomically and experimentally supported...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) will support research to develop new analytical tools to understand how the brain processes and routes sensory information in response to changes in the environment. The project, titled "CONTEXTUAL GATING OF INFORMATION FLOW IN LARGE-SCALE BRAIN NETWORK MODELS," will integrate existing datasets on large-scale neural activity and...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
The University of California, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
The National Science Foundation awarded a $500,000 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support the "PANOPTIC 3D PARSING IN THE WILD" research project. The three-year award, which runs from October 1, 2021 through September 30, 2024, will fund the development of technologies to enable panoptic 3D scene parsing using computer vision techniques for unconstrained images in...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a research project that introduces a novel approach for robots to navigate in unknown environments. The $202,082 award to Trustees of Boston University aims to develop high-level reasoning techniques that allow robots to understand and navigate environments using structured elements like rooms and doors, instead of relying on detailed...
This four-year, $1.2 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance robotic mapping and navigation capabilities using semantic maps and spatial reasoning based on visual inputs and language instructions. Funded through the Division of Information and Intelligent Systems, the research seeks to enable robots to learn to predict maps of unseen environments using active learning techniques. It also focuses on...