Project Grant 2510152
- 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,...
- This $400,000 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) is funding the development of a new hardware system specifically designed to meet the increasing computational demands for sophisticated multi-scale brain models in computational neuroscience research. The project aims to bridge the significant computational challenges arising from modeling cognitive phenomena, such as learning and memory, which evolve on timescales from...
- The National Science Foundation (NSF) awarded a $550,000 CAREER grant under the Engineering program (CFDA 47.041) to New York University (NYU) for the project "NEUROTAP: Chip-Scale High-Resolution Neural Recording with Wireless Communication and Powering." This 5-year project seeks to revolutionize neural interfaces by developing innovative wireless systems that combine advanced wireless power transfer methods, energy-efficient and high-bandwidth integrated circuits, and large-scale...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $225,000.00 to the University of Massachusetts to develop closed-loop hybrid intelligence (HI) systems that integrate high-resolution optoelectronic neuromodulation and neuromorphic hardware. The research aims to demonstrate the ability of these co-designed HI systems to interface with biological neural networks and organoid models, with potential...
- The National Science Foundation (NSF) Office of Emerging Frontiers and Multidisciplinary Activities awarded a $1,999,968 Project Grant to the University of California, Santa Barbara (UCSB) under the NSF Engineering (CFDA 47.041) program. This grant aims to develop scalable algorithms and hardware for human-brain-scale neuromorphic systems with practical learning capabilities. The key objectives are to create hardware-friendly local learning algorithms, a framework for continual online...
- 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 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...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support a $1,958,603 research project at the University of California, Santa Cruz (UCSC) from August 1, 2025 to July 31, 2029. The project aims to explore whether human brain organoids, lab-grown tissue models of the human brain, can perform computations similar to artificial intelligence (AI) systems. The research team will design new tools to allow the brain organoids to...
- 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 National Science Foundation (NSF) awarded a $1,400,000 Project Grant under the Integrative Activities program (CFDA 47.083) to Yale University to develop BrainScan, a highly programmable neural interface that enables direct real-time bidirectional communication between biological neurons in the brain and the digital world. The project will focus on designing the BrainCore chip, a specialized hardware accelerator for efficient neural data processing, as well as the supporting software interface. This transformative technology aims to process up to 100 Mbps of neural data below 1 watt of power, enabling cutting-edge neuroscience research and potential future applications in augmenting human cognition. The project will be conducted from October 2025 through September 2028 at Yale University's facilities in Hamden, Connecticut.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.4m | 7/25/25 |