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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Main Authors:	Hang Zhang, Hao Zeng, Arri Priimagi, Olli Ikkala
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-07-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-11260-3

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record_format	Article
spelling	doaj-0f94447a40b3475ea64f9766ac303a2c2021-05-11T12:18:31ZengNature Publishing GroupNature Communications2041-17232019-07-011011810.1038/s41467-019-11260-3Programmable responsive hydrogels inspired by classical conditioning algorithmHang Zhang0Hao Zeng1Arri Priimagi2Olli Ikkala3Department of Applied Physics, Aalto UniversitySmart Photonic Materials, Faculty of Engineering and Natural Sciences, Tampere UniversitySmart Photonic Materials, Faculty of Engineering and Natural Sciences, Tampere UniversityDepartment of Applied Physics, Aalto UniversityLiving 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.https://doi.org/10.1038/s41467-019-11260-3
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Hang Zhang Hao Zeng Arri Priimagi Olli Ikkala
spellingShingle	Hang Zhang Hao Zeng Arri Priimagi Olli Ikkala Programmable responsive hydrogels inspired by classical conditioning algorithm Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-07-01
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.
url	https://doi.org/10.1038/s41467-019-11260-3
work_keys_str_mv	AT hangzhang programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT haozeng programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT arripriimagi programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm AT olliikkala programmableresponsivehydrogelsinspiredbyclassicalconditioningalgorithm
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Programmable responsive hydrogels inspired by classical conditioning algorithm

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