Project Grant HM15820612026

The National Institutes of Health's National Institute of Neurological Disorders and Stroke awarded a $7.7 million Project Grant under the 21st Century Cures Act - Brain Research through Advancing Innovative Neurotechnologies program to The Trustees of Columbia University in New York, New York. The grant supports research from July 15, 2022 to June 30, 2025 to reveal the computational mechanisms of primate face recognition. Columbia University will implement feedforward and recurrent neural...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $123,859 to the University of California, Santa Barbara (UCSB) to develop a closed-loop machine learning (ML) pipeline that iteratively refines training data collection to improve the generalizability of ML models for network operations. The key products and services to be delivered under this 5-year award include: (1)...

The National Science Foundation (NSF) awarded a $250,000 Project Grant under the STEM Education program (CFDA 47.076) to the University of Pittsburgh to conduct collaborative research on enhancing teacher professional learning through AI-enabled formative feedback systems. The project, titled "Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-Enabled Formative Feedback for Job-Embedded Learning", will work with teachers to co-design and test...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $597,224 to the University of California, Los Angeles (UCLA) from October 1, 2024 to September 30, 2027 to develop a novel class of feedforward neural networks called "Adaptive Synaptic Dynamics Neural Networks." The project aims to incorporate short-term synaptic plasticity into these networks in order to optimize the processing of temporal...

The National Science Foundation awarded a $245,043 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The five-year award will support research towards theoretical foundations of neural network-based representation learning. Specifically, the awardee will build a comprehensive theory for new neural network representation learning techniques. This includes characterizing statistical properties of...

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 Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences (CFDA 47.075 Social, Behavioral, and Economic Sciences) provides $386,744 to Vanderbilt University to investigate the components, correlates, and mechanisms of object recognition and visual decision-making abilities. The project aims to understand how and why individuals vary in their ability to make visual decisions, analyzing the performance of large participant groups across...

This $1.2 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the Massachusetts Institute of Technology to develop new techniques for interactive machine learning with rich feedback. Over a three-year period from September 2022 to August 2025, the grantee will pursue three objectives: establishing a framework for grounding complex feedback using simple supervisory signals; creating algorithms allowing...

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 four-year $800,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will support research at the University of California, Los Angeles (UCLA) to develop theoretical tools for understanding deep neural networks (DNNs). The research aims to identify common themes in how artificial and biological systems like the human brain learn. It will investigate the hypothesis that DNNs succeed when learning tasks exhibit...