2426857

NSF-RCF: FET: SMALL: Closed-loop hybrid intelligence with optogenetic-neuromorphic co-designed cell interfaces - Artificial Intelligence (AI) built upon biological input can emulate downstream biocomputing and send feedback to alter biological activities, offering closed-loop hybrid intelligence (HI) framework to connect biological and physical computing systems.

This research project aims to establish closed-loop hybrid intelligence by co-designing high-resolution neuromodulation and neuromorphic devices that can apply to cultured neurons and organoids.

The outcome of this research will result in engineering tools and methods that may make an impact in AI hardware, human-machine co-learning, brain-machine interfaces, and disease modeling.

The educational objectives of this project are aimed at training and inspiring young engineers and scientists who are equipped with the multidisciplinary background required to help define the future trajectory of AI, brain sciences, and advanced manufacturing.

The completion of this project will:

1) Advance transformative AI technologies capable of closed-loop cell interfacing with recording, processing, and controlling modalities;

2) Educate undergraduate and graduate researchers to contribute to the nation’s workforce needs in AI, advanced computing, and brain-computer interface;

3) Contribute to K-12 education through weekend seminars and mentoring student-teacher pairs; and

4) Promote public awareness of AI technologies towards biological/bio-inspired computing.

The research objective of this project is to combine high-resolution optoelectronic neuromodulation and neuromorphic hardware to demonstrate closed-loop HI in biological neural networks and organoid models.

The resulting HI system will showcase the power of optogenetic-neuromorphic co-design capable of closed-loop, energy-efficient, and high-accuracy cell interfacing, and suggest its promise in developing optogenetic interventions in organoid models.

Three major contributions of this research project include:

1) Optogenetic cell interfaces composed of close-packed light-emitting diodes and microelectrodes, which are particularly co-designed with neuromorphic cell interfaces towards closed-loop HI;

2) Neuromorphic cell interfaces composed of close-packed photomemristors and microelectrodes, which are co-designed with optogenetic cell interfaces towards closed-loop HI;

3) Demonstration of the closed-loop HI in cultured neural networks and organoid models, with perspective applications for developing effective optogenetic interventions.

This project is funded by the Foundations of Emerging Technologies Program and the Electronics, Photonics and Magnetic Devices Program.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.

Subawards are not planned for this award.

University Of Massachusetts

THE GOAL OF THIS FUNDING OPPORTUNITY, "COMPUTER AND INFORMATION SCIENCE AND ENGINEERING (CISE): CORE PROGRAMS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23561

47.070 - Computer and Information Science and Engineering

Division of Computing and Communication Foundations (CCF) [NSF]

Amherst, Massachusetts 01003-9252 United States

Single Zip Code

Computer and Information Science and Engineering (CISE): Core Programs (23-561)

Amendment Since initial award the total obligations have increased 89% from $225,000 to $425,000.