This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $585,000 to the Board of Regents of the University of Nebraska to redesign brain-computer interfaces to include real-life images. The goal is to make these communication devices easier for children with physical disabilities like cerebral palsy to use, enhancing their quality of life. The research will study how brain activity differs between...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award to Northern Illinois University (NIU) provides $599,707 from October 1, 2024 to September 30, 2028 to develop a direct bidirectional brain-to-brain interface (B2BI) using non-invasive technologies. The key objectives are to determine optimal parameters for transcranial focused ultrasound (TFUS) stimulation of the human brain and to assess the performance of a...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop advanced brain-computer interface technologies for speech restoration. The project seeks to create neural speech decoders that can translate electrical brain signals into synthesized speech, enabling communication for those who have lost the ability to speak due to conditions like ALS, stroke, or traumatic brain injury. The...
This $600,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at The Pennsylvania State University to develop a fully wireless, flexible electrical-acoustic implant for high-resolution neural stimulation and recording across large-scale brain circuits. The implant is intended to provide minimally invasive ultrasound neuromodulation and...
The University of Michigan was awarded a $1.1 million Project Grant from the National Science Foundation Division of Mathematical Sciences under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from September 2021 through August 2025 to develop new statistical learning methods for brain-computer interfaces. As part of the Computer and Information Science and Engineering program's goals of supporting investigator-initiated research and...
This $312,039 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the University of California, Irvine to develop conformable, expandable neural interface devices. The goal is to use these bioelectronic devices to monitor brain activity in immature rodents as they perform naturalistic behaviors, with the aim of identifying neurophysiological signatures of emerging cognitive processes. The research seeks to provide insights into how...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $319,999 to the University of Notre Dame to develop an implantable neural interface platform with three key innovations: 1) optimized resistive RAM memory for efficient data storage, 2) programmable analog front-end circuits for high-density neural signal acquisition, and 3) specialized processors for energy-efficient computation of neural network operations. The goal is to create an...
The National Science Foundation (NSF) awarded a 5-year, $899,286 Faculty Early Career Development (CAREER) Program grant to the University of Washington to fund research aimed at expanding the understanding of human-technology interaction through brain-computer interfaces (BCIs). The interdisciplinary project will investigate how the nervous system responds to neural interfaces and develop advanced computational algorithms to optimize the interactions between users and BCI devices. The...
This four-year, $1.96 million project grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities, under the Engineering program (CFDA 47.041), will develop improved brain-machine interface algorithms to restore movement and speech abilities. The University of California, San Diego will apply advances in understanding biological motor control to design decoding strategies enabling robust prosthetic control across contexts. Existing feedforward...
The National Science Foundation awarded University of California Irvine a $499,793 Project Grant under the federal Computer and Information Science and Engineering grant program (CFDA 47.070). The grant will support the development of brain-inspired machine learning algorithms to provide real-time feedback to sensors and intelligently control data generation rates. This is expected to reduce sensor data outputs by up to four orders of magnitude for applications in infrastructure, mobile devices,...