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 National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $526,211 to The Trustees of the University of Pennsylvania aims to develop an innovative multimodal bioelectronic interface for simultaneous electrophysiology, neurochemistry, and optical mapping of neuronal circuits in vivo and at multiple scales. The project will design, fabricate, and characterize this multimodal neural interface based on nanoscale soft conductors and custom fabrication...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $599,918 to the Massachusetts Institute of Technology (MIT) to develop a novel non-surgical bioelectronic brain implant for targeted neural stimulation. The proposed technology aims to enable the circulation of ultra-small bioelectronic devices through the body's vasculature to autonomously implant in target brain regions, overcoming the blood-brain barrier without surgery. Once...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) supports research by the University of Notre Dame to explore the potential of using heart muscle cells as the basis for a recurrent (Hopfield) neural network. The project, titled "EFRI BEGIN OI: IMPLANTATION OF DENSE ASSOCIATIVE MEMORY THROUGH CARDIAC MUSCLE CELL-BASED REPROGRAMMABLE BIO-OSCILLATORY NEURAL NETWORKS," aims to investigate whether cardiac muscle...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will support research by Trustees of Dartmouth College to develop a novel "Monolithic 3D Neuroelectronics" system. The $364,082 award, with a period of performance from September 1, 2024 to August 31, 2027, will investigate a flexible electronic design and systems research approach to establish a new 3D neural probe paradigm. The goal is to create a powerful tool for neuroscience...
This $432,452 National Science Foundation (NSF) Engineering (CFDA 47.041) grant award to New York University (NYU) aims to advance the theoretical and engineering foundations of wireless neural interfaces. The project, titled "NEUROTAP: CHIP-SCALE HIGH-RESOLUTION NEURAL RECORDING WITH WIRELESS COMMUNICATION AND POWERING," seeks to develop innovative wireless systems that combine advanced wireless power transfer, energy-efficient integrated circuits, and large-scale neural data...
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...
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...
The National Science Foundation awarded Boise State University a $199,999 project grant under the Engineering program (CFDA 47.041) to develop microscale neural implants for closed-loop neuromodulation from March 2022 through February 2024. The university will advance bioelectronic medicine miniaturization to enable simultaneous neural sensing and stimulation for personalized closed-loop therapy. Key activities include developing a cross-domain simulation framework to optimize microscale...
The University of Notre Dame received a two-year, $120,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program to develop next-generation, self-evolving implantable medical devices. Through the award ending April 2025, the university will research cross-layer co-design approaches allowing dynamic adjustment of detection algorithms and hardware configurations in implantable devices based on individual patient data and circumstances. The goal is to...
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 advanced brain-machine interface technology that can revolutionize the understanding of brain function and unlock new therapies for neurological disorders. The project encompasses device fabrication, circuit design, digital accelerator development, and mapping of machine learning algorithms onto the novel hardware architecture. No sub-awards are planned under this grant, which has an award date of August 1, 2024 and an ultimate completion date of July 31, 2027.