Interfacing Bio-amplitude Neuromorphic Devices with Cells
Abstract
The long-term goal of the research is to improve the intimacy in bioelectronic interfaces, in which electronics can directly talk to biosystems (e.g., cell, tissue, organ) without additional signal translation (e.g., amplification/conversion). Here, our goal is to investigate and validate the critical step that biological signals from cells/tissue can be used to directly drive electronic computation, which is to fundamentally emulate the efficient energy/information flow between sensing and computation in biosystems (e.g., by sharing the unitary signal of an action potential). This goal will be achieved through following objectives: (1) Neuromorphic devices, which not only mimic various bio-computation functions but also achieve bio-amplitude (e.g., <100 mV) matching to that in bio-computation, will be developed; (2) biosensors will be developed to retrieve electric energy/signal from cells; and (3) the retrieved electric signal will be used to directly drive the bio-amplitude neuromorphic devices for computation and decision, yielding a self-sustained living interface. The research is expected to advance closed-loop bioelectrionic interfaces, which will contribute to advanced human technologies, including, e.g., prosthetics and performance augmentation. It is also expected to support development in hybrid bio-bots and living microsystems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 03, 2022
- Source ID
- W911NF2210027
Entities
People
- Jun Yao
Organizations
- Army Contracting Command
- United States Army
- University of Massachusetts Amherst