Project Grant N000142412405

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

The National Science Foundation (NSF) Directorate for Engineering awarded the University of Pittsburgh a 3-year, $350,000 Project Grant to develop an innovative closed-loop brain-computer interface (BCI) system for use in exposure therapy for socially fearful teenagers with depression and anxiety. The proposed technology synchronizes electroencephalogram (EEG) monitoring with augmented reality (AR) simulations of social fear scenarios, enabling real-time detection of fearful responses and...

This NSF Engineering program Project Grant award to Brown University, totaling $383,560, will support the development of a large-scale wireless network of microchip sensors for monitoring physiological signals and brain activity. The overarching goal is to create an "all-in-one" approach to build a wireless network of thousands of sub-millimeter size sensors that can efficiently transmit and decode sparse event-driven signals, taking inspiration from the brain's neural activity. The...

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 Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...

The National Science Foundation (NSF) Office of Emerging Frontiers and Multidisciplinary Activities awarded a $1,999,968 Project Grant to the University of California, Santa Barbara (UCSB) under the NSF Engineering (CFDA 47.041) program. This grant aims to develop scalable algorithms and hardware for human-brain-scale neuromorphic systems with practical learning capabilities. The key objectives are to create hardware-friendly local learning algorithms, a framework for continual online...

This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...

This $1,999,112 project grant from the National Science Foundation's Engineering Directorate (NSF ENG) will fund research at The Johns Hopkins University to develop new artificial intelligence techniques inspired by neuroscience models of visual attention. Specifically, the grant aims to translate models of visual attention in mammalian brains into new deep learning algorithms that can greatly reduce the number of variables updated during machine learning. If successful, these brain-inspired...

The National Science Foundation (NSF) awarded a $174,229 Project Grant under the Computer and Information Science and Engineering (CISE) program to Michigan Technological University. The grant, awarded on October 1, 2023, with a completion date of September 30, 2025, is focused on developing a self-learning neuromorphic robot system that can operate efficiently in resource-constrained environments. The key objectives of this research project are to: 1) create a neuromorphic robot that utilizes...

This $497,881 Project Grant, awarded July 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) and administered by the Division of Computing and Communication Foundations, supports research and development of a ubiquitous brain-computer interface (UBCI) framework at San Diego State University. The primary deliverable is an adaptable neural signal processing system designed to enhance both cognitive and motor functions...