Programmable responsive hydrogels inspired by classical conditioning algorithm

Living systems inspired research on systems chemistry to mimic specific complex biological functions, but mimicking even the most elementary aspects of learning is a grand challenge. Here the authors demonstrate a programmable hydrogel-based model system, whose behaviour is inspired by associative l...

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Detalles Bibliográficos
Autores principales:	Hang Zhang, Hao Zeng, Arri Priimagi, Olli Ikkala
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0f94447a40b3475ea64f9766ac303a2c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:0f94447a40b3475ea64f9766ac303a2c2021-12-02T15:35:58ZProgrammable responsive hydrogels inspired by classical conditioning algorithm10.1038/s41467-019-11260-32041-1723https://doaj.org/article/0f94447a40b3475ea64f9766ac303a2c2019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-11260-3https://doaj.org/toc/2041-1723Living systems inspired research on systems chemistry to mimic specific complex biological functions, but mimicking even the most elementary aspects of learning is a grand challenge. Here the authors demonstrate a programmable hydrogel-based model system, whose behaviour is inspired by associative learning.Hang ZhangHao ZengArri PriimagiOlli IkkalaNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hang Zhang Hao Zeng Arri Priimagi Olli Ikkala Programmable responsive hydrogels inspired by classical conditioning algorithm
description	Living systems inspired research on systems chemistry to mimic specific complex biological functions, but mimicking even the most elementary aspects of learning is a grand challenge. Here the authors demonstrate a programmable hydrogel-based model system, whose behaviour is inspired by associative learning.
format	article
author	Hang Zhang Hao Zeng Arri Priimagi Olli Ikkala
author_facet	Hang Zhang Hao Zeng Arri Priimagi Olli Ikkala
author_sort	Hang Zhang
title	Programmable responsive hydrogels inspired by classical conditioning algorithm
title_short	Programmable responsive hydrogels inspired by classical conditioning algorithm
title_full	Programmable responsive hydrogels inspired by classical conditioning algorithm
title_fullStr	Programmable responsive hydrogels inspired by classical conditioning algorithm
title_full_unstemmed	Programmable responsive hydrogels inspired by classical conditioning algorithm
title_sort	programmable responsive hydrogels inspired by classical conditioning algorithm
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/0f94447a40b3475ea64f9766ac303a2c
work_keys_str_mv	AT hangzhang programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT haozeng programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT arripriimagi programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT olliikkala programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm
_version_	1718386395560542208

Programmable responsive hydrogels inspired by classical conditioning algorithm

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