Project Grant R41MH116752

This $500,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports a collaborative research effort between Yale University and its partners to develop energy-efficient algorithms and hardware for spike-based edge computing. The project aims to integrate spiking neural networks (SNNs), a brain-inspired computing paradigm, with modern integrated circuits to enable practical deployment of neuromorphic...

The National Science Foundation awarded a $599,304 three-year Project Grant to the University of California, Santa Barbara under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of novel methods and hardware architectures for optimization and acceleration of spiking neural networks. Key products will include algorithms, software design tools, and field-programmable gate array hardware architectures and...

This two-year, $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop techniques for improving the interpretability and robustness of deep neural networks. Specifically, the University of California, Santa Barbara will apply ideas from communication theory and neuroscience to actively shape the features extracted by individual layers of neural networks in addition to end-to-end training. By learning "matched...

The Massachusetts Institute of Technology (MIT) received a $500,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on June 1, 2022 to support research titled "AF: SMALL: AN ALGORITHMIC THEORY OF BRAIN BEHAVIOR: CONCEPT REPRESENTATION AND LEARNING IN SPIKING NEURAL NETWORKS." The three-year project will investigate concept representation and learning in spiking neural networks through the lens of algorithmic theory. The award...

This $250,000 Project Grant award from the National Science Foundation's Engineering (CFDA 47.041) program to The Pennsylvania State University (Penn State) supports a collaborative research project on "Spintronics Enabled Stochastic Spiking Neural Networks with Temporal Information Encoding". The goal is to advance neuromorphic computing architectures that can achieve brain-scale efficiency for complex machine learning through a multi-disciplinary approach spanning device physics,...

This $1,999,635 project grant from the National Institutes of Health's National Institute of Neurological Disorders and Stroke (NIH NINDS) will fund research into understanding feedforward and feedback signaling between neuronal populations. The grant was awarded to Albert Einstein College of Medicine on March 15, 2022 for a period ending February 28, 2025. The project aims to advance understanding of how feedforward and feedback signaling work together in the visual system by analyzing...

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 Project Grant award from the National Eye Institute (NEI), under the Vision Research federal grant program (CFDA 93.867), aims to develop an advanced optical recording system capable of capturing the full electrical dynamics of large ensembles of neurons in the cortex and hippocampus of awake, behaving rodents. The $259,095 award will fund the design and demonstration of a novel ultra-high-speed volumetric imaging system that utilizes structured one-photon excitation and light field...

This Cooperative Agreement awarded by the National Institute of Neurological Disorders and Stroke (NINDS), part of the National Institutes of Health, provides $1,033,079 in funding to The Johns Hopkins University from May 2025 to April 2030 under the 21st Century Cures Act - Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative (CFDA 93.372). The project aims to expand support and training for new users of next-generation electrophysiology probes, such as the...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, award ID 2403723, provides $500,000.00 to Cornell University to develop novel algorithms and hardware designs for energy-efficient, memory-optimized spiking neural network (SNN) systems on edge computing devices. The project aims to advance the practical deployment of neuromorphic computing for applications like drones, autonomous robots, portable medical devices, and wearable...