The National Science Foundation (NSF) Biological Sciences program awarded a $124,997 project grant to the University of Massachusetts Boston from October 1, 2023 to September 30, 2025. The grant supports the development of a multimodal machine learning method to simultaneously analyze electroencephalogram (EEG) data and animal behavior data to study group behavior, particularly sleep patterns. The project aims to create a "dictionary" of animal movements and behaviors and incorporate...
This two-year, $200,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of interpretable deep learning methods and software for automated sleep phenotyping using multimodal health sensing data. Beth Israel Deaconess Medical Center will leverage polyssomnography data and novel radio frequency sensing techniques to build accurate deep learning models for classifying sleep stages and apnea...
This Project Grant from the National Science Foundation's $150,000 Biological Sciences program (CFDA 47.074) supports research from October 1, 2022 to September 30, 2026 to translate insights from sleep biology to improve continual learning in artificial neural networks. The University of California San Diego will study multi-phasic sleep patterns across the honeybee brain using electrophysiological experiments. This will inform computational models of sleeping neural networks to enhance deep...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award provides $160,000 in funding to support a postdoctoral fellowship investigation into how sleep facilitates the integration of new and existing memories. The goal is to understand the brain mechanisms that enable this integration process, which is critical for building knowledge from new information encountered in daily life. The study will use electroencephalography (EEG),...
This Project Grant award, valued at $134,730.00, was issued by the National Institute on Aging (NIA), under the Aging Research federal grant program (CFDA 93.866), to The General Hospital Corporation, doing business as Massachusetts General Hospital (MGH). The goal of this project is to develop electroencephalogram (EEG) biomarkers to predict the future risk of dementia and monitor cognitive decline in older adults. The research will leverage existing datasets from the National Sleep Research...
This $850,000 Project Grant award, funded jointly by the National Science Foundation's (NSF) Division of Integrative Organismal Systems and Division of Information and Intelligent Systems under CFDA 47.070 Computer and Information Science and Engineering, supports research to understand how sleep and memory are connected in the brain. The project will use long-duration, high-resolution recordings of neuronal activity to observe changes in synaptic connections during sleep and memory tasks,...
This $286,000 Project Grant award, provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research on how the brain processes the sounds in spoken words as they unfold over time. The project, titled "The Neural Representation of Temporal Phonological Structure", is conducted by The General Hospital Corporation, doing business as Massachusetts General Hospital (MGH), a renowned nonprofit academic medical...
The National Science Foundation Division of Information and Intelligent Systems awarded a $999,710 Project Grant to The General Hospital Corporation, doing business as Massachusetts General Hospital, for research titled "COLLABORATIVE RESEARCH: NCS-FR: UNDERSTANDING THE NEUROPEPTIDE MODULATION OF BRAIN CIRCUITS BY ADVANCED NANOMATERIALS AND IMAGING." The award period is from September 1, 2021 to August 31, 2025. The grant supports research under the Computer and Information Science and...
The National Science Foundation (NSF) awarded a 3-year, $200,000 Project Grant to Brown University under the Integrative Activities (CFDA No. 47.083) program. The purpose of this collaborative U.S.-Israel research project is to investigate the neural mechanisms by which learning can be enhanced for both visual and motor skill acquisition. The research aims to integrate findings on memory reactivation and the role of sleep in facilitating skill learning, and to understand how these processes work...
This National Science Foundation (NSF) Project Grant award to Wake Forest University, under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop a "Neuron Twin" computational system that simulates the human brain to improve understanding and predictions related to Alzheimer's disease. The $501,329 five-year project will leverage deep learning and multiscale modeling to jointly analyze multimodal data, including genetic, neuroimaging, and...