Project Grant 2449909
Award Date
10/1/24
Completion Date
11/30/26
Dollars Obligated
$284K
Funding Federal Agency
Division of Information and Intelligent Systems
Awarding Federal Agency
Division of Electrical, Communications and Cyber Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Irvine, CA 92697, USA
Similar Awards
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Pittsburgh to develop new analytical tools and computational models to understand how the brain selectively processes relevant information and coordinates information flow across brain regions. The project aims to integrate existing datasets on large-scale neural activity and anatomical connectivity...
This $129,226 project grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at the University of California, Irvine to develop soft, biocompatible ion-based transistors for responsive neuroelectronic devices. The key objectives are to fabricate integrated circuits using ion-gated transistors, characterize their performance in physiological environments, and use them to modulate neural networks and acquire neurophysiological data. The research aims...
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 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,...
The National Science Foundation (NSF) awarded a $2,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Irvine to develop and assess the feasibility of 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The objectives are to establish methods to fabricate robust, reliable, and reproducible 3DNNs, and to develop core principles to program them with intelligent behavior. This research aims to demonstrate...
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...
This $337,422 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a novel "neuron-to-neuron interface" that can transmit signals between individual neurons in the brains of two zebrafish larvae. The researchers at the University of Illinois seek to create a system that allows synchronized behavioral outputs in both a "sender" and "receiver" fish by transmitting neural signals optically between their...
This Project Grant award of $225,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports a collaborative research project between U.S. and French researchers to study how astrocytes, a type of brain cell, contribute to neural dynamics and information processing in the brain. The project combines computational modeling and experimental observations to investigate how astrocytes may act as "contextual...
This $497,881 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a ubiquitous brain-computer interface (UBCI) framework. The UBCI system aims to enhance both cognitive and motor functions for individuals with neurological disorders by leveraging advanced neural signal processing and an energy-efficient digital architecture. Unlike conventional brain-computer interfaces (BCIs) that rely on...
The National Science Foundation (NSF) has awarded a $330,000 Project Grant under the Engineering program (CFDA 47.041) to Yale University. The "NeroFlex" project aims to develop an advanced implantable neural interface platform that integrates optimized resistive RAM memory, programmable analog front-end circuits, and specialized processors for efficient brain data acquisition and computational processing. The research plan encompasses device fabrication, mixed-signal circuit design,...