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Self-sustained green neuromorphic interfaces

Engineering and Technology

Self-sustained green neuromorphic interfaces

T. Fu, X. Liu, et al.

Discover groundbreaking research by Tianda Fu, Xiaomeng Liu, Shuai Fu, Trevor Woodard, Hongyan Gao, Derek R. Lovley, and Jun Yao on multifunctional, self-sustained neuromorphic interfaces. This innovative study showcases the use of microbially produced protein nanowires for bio-amplitude signal processing and energy harvesting from ambient humidity, paving the way for flexible, self-powered interfaces that can intelligently respond to biological stimuli.... show more
Abstract
Incorporating neuromorphic electronics in bioelectronic interfaces can provide intelligent responsiveness to environments. However, the signal mismatch between the environmental stimuli and driving amplitude in neuromorphic devices has limited the functional versatility and energy sustainability. Here we demonstrate multifunctional, self-sustained neuromorphic interfaces by achieving signal matching at the biological level. The advances rely on the unique properties of microbially produced protein nanowires, which enable both bio-amplitude (e.g., <100 mV) signal processing and energy harvesting from ambient humidity. Integrating protein nanowire-based sensors, energy devices and memristors of bio-amplitude functions yields flexible, self-powered neuromorphic interfaces that can intelligently interpret biologically relevant stimuli for smart responses. These features, coupled with the fact that protein nanowires are a green biomaterial of potential diverse functionalities, take the interfaces a step closer to biological integration.
Publisher
Nature Communications
Published On
Jun 07, 2021
Authors
Tianda Fu, Xiaomeng Liu, Shuai Fu, Trevor Woodard, Hongyan Gao, Derek R. Lovley, Jun Yao
Tags
neuromorphic interfaces
protein nanowires
bio-amplitude signal processing
energy harvesting
sustainability
biological stimuli
self-powered systems
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