This federal Project Grant award from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) provides $400,000 to Brown University to acquire a new high-performance computing (HPC) resource focused on GPU-based computing. The goal is to create a centralized HPC cluster that will serve as a cornerstone for multidisciplinary brain science research and education programs at the university's Carney Institute for Brain Science. The new HPC resource will expand...
This Project Grant award of $400,000 from the National Science Foundation (NSF) under CFDA 47.041, the Engineering program, supports the development of a new hardware system designed to accelerate computational neuroscience models. The project aims to bridge the time scales involved in simulating complex cognitive phenomena like learning and memory, which span from milliseconds to years. The proposed convergent simulator architecture leverages neuromorphic hardware principles to efficiently...
This Project Grant award from the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) provides $747,410 to the University of Pittsburgh to purchase a Dell PowerEdge XE9680 8X H100 NVIDIA GPU server with NV-Link. The server will be housed at the university's Center for Biologic Imaging (CBI), a centralized imaging facility that supports NIH-funded researchers across the campus and at other institutions. The high-performance computing capacity of the...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a new, resource-efficient "REITOS" cyberinfrastructure platform for interactive machine learning training workloads using notebook computing environments. The key goals of the project are to: (1) create distributed notebook algorithms for high availability and interactivity, (2) enable more efficient GPU...
This $480,000 Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) will enable the Medical University of South Carolina (MUSC) to acquire a high-performance computing (HPC) cluster with extensive data storage and graphics co-processor (GCP) capabilities. This HPC infrastructure will support the integration of MUSC's expanding institutional data resources, including electronic health records, clinical...
This three-year, $2.288 million project grant from the National Institutes of Health's National Institute on Drug Abuse will support the development of new analytic tools and computational frameworks to understand complex spatiotemporal brain activity from large-scale, multi-modal neuroscience data. Specifically, the New York University School of Medicine will utilize electrophysiological recordings and calcium imaging data to decode representations of spatial and task information in hippocampal...
This National Science Foundation (NSF) Major Research Instrumentation award of $413,282 provides Northern Michigan University (NMU) with a high-density electroencephalogram (HD-EEG) system integrated with high-density transcranial electric stimulation (HD-TES) neuromodulation capabilities and time-locked dual acquisition functionality. This advanced neuroimaging instrumentation will support collaborative research projects across neuroscience, psychology, and behavioral science fields. The...
This Project Grant award, with a total funding amount of $225,000.00 and an award date of September 1, 2024, was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The primary objective of this award is to develop innovative computing systems inspired by the structure and function of the human brain. Specifically, the project will create advanced human brain organoids (HBOs) - miniature 3D models of the human...
The National Institutes of Health (NIH) awarded a $1,385,000 Project Grant under the Trans-NIH Research Support program (CFDA 93.310) to the Allen Institute, a non-profit research organization, to develop novel techniques for measuring the input-output operations of individual neurons in the mouse cortex. The project aims to overcome challenges in understanding how neurons in the mammalian brain transform their synaptic inputs into outputs, which is critical for designing effective brain-machine...
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...
This Project Grant award from the National Institutes of Health (NIH) Office of Research Infrastructure Programs (CFDA 93.351) provides $1,599,833 to the University of Virginia (UVA) to acquire a specialized, high-performance computational instrument called "NEO" to advance neuroscience research capabilities. NEO is a GPU-driven system designed to significantly enhance UVA's brain data analysis and modeling, increase data processing capacity, and enable cutting-edge machine learning and AI applications. The new cyberinfrastructure will support the research of 28 NIH-funded UVA investigators working across areas such as large-scale neuroimaging, epigenetics, epilepsy, and molecular/cellular processes. With strong institutional support, the instrument will be effectively managed and provide 24/7 availability and tailored user training to accelerate UVA's neuroscience discovery at scale.