Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems

Hyunseok Shim, Kyoseung Sim, Faheem Ershad, Pinyi Yang, Anish Thukral, Zhoulyu Rao, Hae Jin Kim, Yanghui Liu, Xu Wang, Guoying Gu, Li Gao, Xinran Wang, Yang Chai, Cunjiang Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

56 Citations (Scopus)

Abstract

Artificial synaptic devices that can be stretched similar to those appearing in soft-bodied animals, such as earthworms, could be seamlessly integrated onto soft machines toward enabled neurological functions. Here, we report a stretchable synaptic transistor fully based on elastomeric electronic materials, which exhibits a full set of synaptic characteristics. These characteristics retained even the rubbery synapse that is stretched by 50%. By implementing stretchable synaptic transistor with mechanoreceptor in an array format, we developed a deformable sensory skin, where the mechanoreceptors interface the external stimulations and generate presynaptic pulses and then the synaptic transistors render postsynaptic potentials. Furthermore, we demonstrated a soft adaptive neurorobot that is able to perform adaptive locomotion based on robotic memory in a programmable manner upon physically tapping the skin. Our rubbery synaptic transistor and neurologically integrated devices pave the way toward enabled neurological functions in soft machines and other applications.

Original languageEnglish
Article numbereaax4961
JournalScience Advances
Volume5
Issue number10
DOIs
Publication statusPublished - 11 Oct 2019

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)
  • General

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