Metabolic perceptrons for neural computing in biological systems

So far, synthetic genetic circuits have relied on digital logic for information processing. Here the authors present metabolic perceptrons that use analog weighted adders to vary the contributions of multiple inputs, resulting in different classification functions.

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Autores principales:	Amir Pandi, Mathilde Koch, Peter L. Voyvodic, Paul Soudier, Jerome Bonnet, Manish Kushwaha, Jean-Loup Faulon
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5f0e78829b1940c1802523d6a5e44de7
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spelling	oai:doaj.org-article:5f0e78829b1940c1802523d6a5e44de72021-12-02T16:57:09ZMetabolic perceptrons for neural computing in biological systems10.1038/s41467-019-11889-02041-1723https://doaj.org/article/5f0e78829b1940c1802523d6a5e44de72019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11889-0https://doaj.org/toc/2041-1723So far, synthetic genetic circuits have relied on digital logic for information processing. Here the authors present metabolic perceptrons that use analog weighted adders to vary the contributions of multiple inputs, resulting in different classification functions.Amir PandiMathilde KochPeter L. VoyvodicPaul SoudierJerome BonnetManish KushwahaJean-Loup FaulonNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Amir Pandi Mathilde Koch Peter L. Voyvodic Paul Soudier Jerome Bonnet Manish Kushwaha Jean-Loup Faulon Metabolic perceptrons for neural computing in biological systems
description	So far, synthetic genetic circuits have relied on digital logic for information processing. Here the authors present metabolic perceptrons that use analog weighted adders to vary the contributions of multiple inputs, resulting in different classification functions.
format	article
author	Amir Pandi Mathilde Koch Peter L. Voyvodic Paul Soudier Jerome Bonnet Manish Kushwaha Jean-Loup Faulon
author_facet	Amir Pandi Mathilde Koch Peter L. Voyvodic Paul Soudier Jerome Bonnet Manish Kushwaha Jean-Loup Faulon
author_sort	Amir Pandi
title	Metabolic perceptrons for neural computing in biological systems
title_short	Metabolic perceptrons for neural computing in biological systems
title_full	Metabolic perceptrons for neural computing in biological systems
title_fullStr	Metabolic perceptrons for neural computing in biological systems
title_full_unstemmed	Metabolic perceptrons for neural computing in biological systems
title_sort	metabolic perceptrons for neural computing in biological systems
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/5f0e78829b1940c1802523d6a5e44de7
work_keys_str_mv	AT amirpandi metabolicperceptronsforneuralcomputinginbiologicalsystems AT mathildekoch metabolicperceptronsforneuralcomputinginbiologicalsystems AT peterlvoyvodic metabolicperceptronsforneuralcomputinginbiologicalsystems AT paulsoudier metabolicperceptronsforneuralcomputinginbiologicalsystems AT jeromebonnet metabolicperceptronsforneuralcomputinginbiologicalsystems AT manishkushwaha metabolicperceptronsforneuralcomputinginbiologicalsystems AT jeanloupfaulon metabolicperceptronsforneuralcomputinginbiologicalsystems
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Metabolic perceptrons for neural computing in biological systems

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