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Viewpoint: Pavlovian Materials—Functional Biomimetics Inspired by Classical Conditioning

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Viewpoint : Pavlovian Materials—Functional Biomimetics Inspired by Classical Conditioning. / Zhang, Hang; Zeng, Hao; Priimägi, Arri; Ikkala, Olli.

In: Advanced Materials, 2020.

Research output: Contribution to journalArticleScientificpeer-review

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@article{c7858371dde3410bb74d9b6e4a917758,
title = "Viewpoint: Pavlovian Materials—Functional Biomimetics Inspired by Classical Conditioning",
abstract = "Herein, it is discussed whether the complex biological concepts of (associative) learning can inspire responsive artificial materials. It is argued that classical conditioning, being one of the most elementary forms of learning, inspires algorithmic realizations in synthetic materials, to allow stimuli-responsive materials that learn to respond to a new stimulus, to which they are originally insensitive. Two synthetic model systems coined as “Pavlovian materials” are described, whose stimuli-responsiveness algorithmically mimics programmable associative learning, inspired by classical conditioning. The concepts minimally need a stimulus-triggerable memory, in addition to two stimuli, i.e., the unconditioned and the originally neutral stimuli. Importantly, the concept differs conceptually from the classic stimuli-responsive and shape-memory materials, as, upon association, Pavlovian materials obtain a given response using a new stimulus (the originally neutral one); i.e., the system evolves to a new state. This also enables the functionality to be described by a logic diagram. Ample room for generalization to different stimuli and memory combinations is foreseen, and opportunities to develop future adaptive materials with ever-more intelligent functions are expected.",
keywords = "adaptation, associative learning, biomimetics, classical conditioning, stimuli-responsive materials",
author = "Hang Zhang and Hao Zeng and Arri Priim{\"a}gi and Olli Ikkala",
year = "2020",
doi = "10.1002/adma.201906619",
language = "English",
journal = "Advanced Materials",
issn = "0935-9648",
publisher = "WILEY-V C H VERLAG GMBH",

}

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TY - JOUR

T1 - Viewpoint

T2 - Pavlovian Materials—Functional Biomimetics Inspired by Classical Conditioning

AU - Zhang, Hang

AU - Zeng, Hao

AU - Priimägi, Arri

AU - Ikkala, Olli

PY - 2020

Y1 - 2020

N2 - Herein, it is discussed whether the complex biological concepts of (associative) learning can inspire responsive artificial materials. It is argued that classical conditioning, being one of the most elementary forms of learning, inspires algorithmic realizations in synthetic materials, to allow stimuli-responsive materials that learn to respond to a new stimulus, to which they are originally insensitive. Two synthetic model systems coined as “Pavlovian materials” are described, whose stimuli-responsiveness algorithmically mimics programmable associative learning, inspired by classical conditioning. The concepts minimally need a stimulus-triggerable memory, in addition to two stimuli, i.e., the unconditioned and the originally neutral stimuli. Importantly, the concept differs conceptually from the classic stimuli-responsive and shape-memory materials, as, upon association, Pavlovian materials obtain a given response using a new stimulus (the originally neutral one); i.e., the system evolves to a new state. This also enables the functionality to be described by a logic diagram. Ample room for generalization to different stimuli and memory combinations is foreseen, and opportunities to develop future adaptive materials with ever-more intelligent functions are expected.

AB - Herein, it is discussed whether the complex biological concepts of (associative) learning can inspire responsive artificial materials. It is argued that classical conditioning, being one of the most elementary forms of learning, inspires algorithmic realizations in synthetic materials, to allow stimuli-responsive materials that learn to respond to a new stimulus, to which they are originally insensitive. Two synthetic model systems coined as “Pavlovian materials” are described, whose stimuli-responsiveness algorithmically mimics programmable associative learning, inspired by classical conditioning. The concepts minimally need a stimulus-triggerable memory, in addition to two stimuli, i.e., the unconditioned and the originally neutral stimuli. Importantly, the concept differs conceptually from the classic stimuli-responsive and shape-memory materials, as, upon association, Pavlovian materials obtain a given response using a new stimulus (the originally neutral one); i.e., the system evolves to a new state. This also enables the functionality to be described by a logic diagram. Ample room for generalization to different stimuli and memory combinations is foreseen, and opportunities to develop future adaptive materials with ever-more intelligent functions are expected.

KW - adaptation

KW - associative learning

KW - biomimetics

KW - classical conditioning

KW - stimuli-responsive materials

U2 - 10.1002/adma.201906619

DO - 10.1002/adma.201906619

M3 - Article

JO - Advanced Materials

JF - Advanced Materials

SN - 0935-9648

M1 - 1906619

ER -