The National Science Foundation (NSF) awarded a $963,459 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Neurodyne, Inc. for the development of an Analog Front End (AFE) platform for lightweight, long-term, cortical monitoring. The project aims to provide next-generation ambulatory seizure data acquisition capabilities, enabling remote neurological data acquisition for applications such as military helmet designs, sports-related brain...
The National Science Foundation awarded Cardiophi LLC $532,000 under the Technology, Innovation, and Partnerships program to develop an artificial intelligence solution for the automated interpretation of electrocardiograms. The project aims to refine existing deep learning-based algorithms for detecting irregular heartbeats, develop methods for predicting the onset of cardiac arrhythmias, and create interpretable and explainable tools to provide insights from ECG signals to clinicians....
This Project Grant award from the National Heart Lung and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $343,203 to Cyion Technologies LLC to develop a novel in vitro electrophysiology system for high-throughput measurement of intracellular action potential (IAP) in human-derived cardiomyocytes. The system leverages a 3D nanoelectrode array (NEA) technology to enable scalable recordings of IAP signals from many individual cardiomyocytes. This...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $865,700 to the University of California, San Diego (UCSD) to enable artificial intelligence (AI)-driven breakthroughs in electroencephalography (EEG) and magnetoencephalography (MEG) research. The EEG-DASH project aims to create a comprehensive data-sharing platform, develop advanced automated processing pipelines, and organize workshops to promote data...
This $2,623,223 Project Grant awarded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will fund the development of CLOUDSLEAP, a cloud-based platform to enhance accessibility to deep learning-based motion capture technology for behavior quantification. The key products and services to be delivered through this 3-year grant include: Enabling annotation, visualization, and sharing of pose tracking datasets directly from the browser,...
This $275,000 project grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) will fund the development of novel electronic-photonic silicon carbide neural probes for recording and stimulating neural activity. The Georgia Tech Research Corporation will receive funding on behalf of collaborating researchers to design penetrating neural probes made entirely of silicon carbide, a robust material proven to withstand the corrosive brain environment long-term. The probes...
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...
This National Science Foundation (NSF) Small Business Technology Transfer (STTR) Phase I award provides $275,000 to Neuraltrak, Inc. to develop and validate a method for continuous, real-time cardiac rhythm diagnosis and display using high-quality atrial electrogram data. The project aims to address limitations of current post-operative cardiac rhythm monitoring approaches, which often fail to accurately interpret rhythm due to poor atrial signal quality and patient variability. The...
This federal Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $2,415,243 to The Broad Institute, Inc. to develop a scalable, cloud-based framework for multi-modal mapping across single neuron omics, morphology, and electrophysiology. The framework aims to enable integrative, data-driven characterization of brain cell types, leveraging federated Brain Initiative resources and community engagement....
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...