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 NSF-SNSF Project Grant, awarded by the National Science Foundation (CFDA 47.041 - Engineering), provides $400,000 to develop a new hardware system designed to meet the increasing computational demands for sophisticated multi-scale brain models. The project focuses on creating a convergent simulator architecture that can accelerate continuous-time models of learning using neuromorphic hardware principles. The goal is to support fundamental neuroscience research and accelerate the...
This National Science Foundation (NSF) Project Grant award under the NSF Engineering program (CFDA 47.041) provides $432,452 to New York University (NYU) from May 1, 2025 to April 30, 2030. The award, titled "CAREER: NEUROTAP: CHIP-SCALE HIGH-RESOLUTION NEURAL RECORDING WITH WIRELESS COMMUNICATION AND POWERING," aims to advance the theoretical and engineering foundations of wireless neural interfaces. Key objectives include developing wireless power transmission and communication...
This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant, awarded to the University of Oklahoma for $305,999, aims to develop a novel hybrid CMOS+X-based in-memory analog computing framework. The project will leverage industry-scale 3D NAND flash memory chips and academic-scale molecular memristors to create a highly energy-efficient neuromorphic computing system. This system will utilize bio-inspired learning algorithms, such as equilibrium propagation and spiking...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $364,082 to Trustees of Dartmouth College to investigate the development of a novel monolithic 3D neuroelectronic system. The project aims to establish a new neural probe paradigm capable of high-resolution 3D neural recording, which could profoundly impact neuroscience research, diagnosis of nervous system disorders, and the advancement of prosthetics and brain-computer interfaces....
This Project Grant award from the National Science Foundation's (NSF) Engineering program provides $150,000 to Baylor University to conduct collaborative research on large-scale wireless RF networks of microchip sensors. The key objectives are to: 1) build a microsensor system and demonstrate low-error rate and efficient asynchronous, encoded wireless transmission in the laboratory using fabricated microchips, and 2) decode signals from a hypothetical brain implant composed of up to 8,000...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $2,000,000 Project Grant to the University of California Irvine (UC Irvine) with a period of performance from Sep 1, 2024 to Aug 31, 2028. This grant funds research to develop 3D biological neural networks (3DNNs) assembled from brain cells that can be trained to recognize movement intentions, perform motor functions, and self-correct errors. The project aims to establish fabrication methods for robust,...
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's (NSF) Engineering program (CFDA 47.041) provides $526,211 to The Trustees of the University of Pennsylvania to develop a novel multimodal bioelectronic device for simultaneous electrophysiology, neurochemistry, and optical mapping of neuronal circuits. The goal is to create a tool that can safely and effectively interface with neural circuits across multiple modalities and scales to better understand brain function and...
This $129,226 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of soft, biocompatible ion-based transistors for responsive neuroelectronic devices. The objective is to create integrated circuits comprised of these ion-gated transistors that can directly transduce the brain's ionic flux to enable efficient interaction with neural circuits.
The research involves the fabrication and comprehensive characterization of...
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, digital accelerator development, and mapping machine learning algorithms onto the novel hardware architecture. This project seeks to revolutionize our understanding of the brain and unlock new therapies for neurological disorders by bridging the gap between neuroengineering and microelectronics. The award period runs from August 1, 2024 to July 31, 2027.