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Self-sustained green neuromorphic interfaces
by
Fu, Tianda
, Yao, Jun
, Woodard, Trevor
, Fu, Shuai
, Lovley, Derek R.
, Gao, Hongyan
, Liu, Xiaomeng
in
639/166/987
/ 639/301/54/1754
/ Amplitudes
/ Bioelectricity
/ Biomaterials
/ Biomedical materials
/ Energy harvesting
/ Environmental effects
/ Humanities and Social Sciences
/ Interfaces
/ Matching
/ Memristors
/ multidisciplinary
/ Nanotechnology
/ Nanowires
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Signal processing
/ Stimuli
/ Sustainability
2021
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Self-sustained green neuromorphic interfaces
by
Fu, Tianda
, Yao, Jun
, Woodard, Trevor
, Fu, Shuai
, Lovley, Derek R.
, Gao, Hongyan
, Liu, Xiaomeng
in
639/166/987
/ 639/301/54/1754
/ Amplitudes
/ Bioelectricity
/ Biomaterials
/ Biomedical materials
/ Energy harvesting
/ Environmental effects
/ Humanities and Social Sciences
/ Interfaces
/ Matching
/ Memristors
/ multidisciplinary
/ Nanotechnology
/ Nanowires
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Signal processing
/ Stimuli
/ Sustainability
2021
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Self-sustained green neuromorphic interfaces
by
Fu, Tianda
, Yao, Jun
, Woodard, Trevor
, Fu, Shuai
, Lovley, Derek R.
, Gao, Hongyan
, Liu, Xiaomeng
in
639/166/987
/ 639/301/54/1754
/ Amplitudes
/ Bioelectricity
/ Biomaterials
/ Biomedical materials
/ Energy harvesting
/ Environmental effects
/ Humanities and Social Sciences
/ Interfaces
/ Matching
/ Memristors
/ multidisciplinary
/ Nanotechnology
/ Nanowires
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Signal processing
/ Stimuli
/ Sustainability
2021
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Journal Article
Self-sustained green neuromorphic interfaces
2021
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Overview
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.
For bio-inspired neuromorphic interfaces to emulate biological signal processing and self-sustainability, the mismatch between sensing and computing signals must be addressed. Here, the authors report sensor-driven, integrated neuromorphic systems with signal matching at the biological level.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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