Project Grant FA95501210388

The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $300,000 Project Grant to the University of California, San Diego (UCSD) for a collaborative research effort titled "Analysis and Control of Nonlinear Oscillatory Networks for the Design of Novel Cortical Stimulation Strategies." This 3-year project aims to develop new theories and tools to predict the onset and spreading of epileptic seizures, and to inform the use of novel electrical brain...

This three-year $249,981 project grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research into synchronization in networks with higher order interactions at the University of Colorado Boulder. Specifically, the principal investigator will develop a theoretical framework to study synchronization of oscillators in hypergraphs, which are a generalization of networks that allow interactions between more than two units. While...

The University of Massachusetts at Hadley, MA was awarded $249,884 by the National Science Foundation under the Engineering (47.041) federal grant program to develop new neural network technology with temporal awareness capabilities from September 1, 2022 to August 31, 2024. Specifically, the University will create a new type of neural network where connections between neurons are temporal functions rather than scalar numbers, similar to the human brain. This technology is intended to give...

This $200,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop advanced analog circuits and systems for dense, in-situ spectrum monitoring. The key products and services to be delivered include: (1) Ultra-efficient, single-shot analog cross-correlators capable of rapidly computing cross-correlations between input signals and template waveforms. This enables low-latency spectrum sensing...

The National Science Foundation awarded a $301,629 Project Grant to the University of Texas at Austin under the Engineering program (CFDA 47.041) to implement topologically protected gigahertz acoustic circuits. The award will support research collaborations between the University of Texas at Austin and the University of Texas System to realize acoustic devices with lower propagation loss than traditionally engineered circuits operating in the gigahertz regime. Key products and services...

This Project Grant award of $1,241,250.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project to investigate the role of brain waves in the prefrontal cortex during categorization decision-making tasks. The project involves a close collaboration between computational and experimental neuroscientists to leverage a neural modeling framework to link macroscale oscillatory brain activity...

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...

This $275,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of a prototype transceiver integrated circuit with wide frequency flexibility. The goal is to create a tunable and programmable radio frequency (RF) transceiver that can achieve the benefits of both hardware-tuned and software-defined radio approaches, addressing limitations in existing software-defined radio technologies....

This $266,538 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research on the effects of connectivity architecture and distributed delays in brain network dynamics. The project aims to establish a quantitative framework that considers both spatial connectivity and temporal history of neural interactions, using networks of coupled equations with time delays. The research team, led by The Research...

This $401,918 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research by the University of Rochester to investigate neural mechanisms underlying how the brain processes complex sounds like speech and music across different timescales. The key objectives are to use computational models and neural recordings from auditory cortex to understand the brain's flexible integration of sound information over...