Self-sustained green neuromorphic interfaces

Tianda Fu, Xiaomeng Liu, Shuai Fu, Trevor Woodard, Hongyan Gao, Derek R. Lovley and Jun Yao ()
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Tianda Fu: University of Massachusetts
Xiaomeng Liu: University of Massachusetts
Shuai Fu: University of Massachusetts
Trevor Woodard: University of Massachusetts
Hongyan Gao: University of Massachusetts
Derek R. Lovley: University of Massachusetts
Jun Yao: University of Massachusetts

Nature Communications, 2021, vol. 12, issue 1, 1-8

Abstract: 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.,

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23744-2

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DOI: 10.1038/s41467-021-23744-2

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