4.4 Review

Neuromorphic bioelectronics based on semiconducting polymers

期刊

JOURNAL OF POLYMER SCIENCE
卷 60, 期 3, 页码 348-376

出版社

WILEY
DOI: 10.1002/pol.20210502

关键词

bioelectronics; neuromorphic device; organic electrochemical transistor; redox transistor; semiconducting polymer; sensor

资金

  1. National Research Foundation of Korea (NRF) grant [2020R1A2B5B03094499]
  2. Nano Material Technology Development Program through the NRF by the Ministry of Science and ICT (MSIT), Korea [2017M3A7B8063825]
  3. Korea Toray Science Foundation

向作者/读者索取更多资源

The recent development of neuromorphic devices has been primarily driven by the increasing demand for brain-inspired computing in human-like machines and human-machine interfaces. In this review, the focus is on semiconducting polymer-based artificial synapses that mimic neural communication behaviors. Advances in semiconducting polymer-based neuromorphic bioelectronics are expected to accelerate the commercialization of human-machine interfacial systems.
The recent development of neuromorphic devices with low power consumption and rapid response has been driven primarily by the growing demand for brain-inspired computing in human-like machines and human-machine interfaces. Remarkable progress has been made in developing neuromorphic bioelectronics that combine neuromorphic devices with electronic sensors. In this review, we provide an overview of semiconducting polymer-based neuromorphic devices and their applications in neuromorphic bioelectronics. We focus on recent advances in semiconducting polymer-based three-terminal artificial synapses that mimic neural communication behaviors. Various types of semiconducting polymers and synaptic platforms have been investigated, allowing significant improvement in their performance and expansion of their functionality. Proper selection of materials and device structures can help artificial sensory synapses to react to various external stimuli and to further modulate electrical signals. Advances in semiconducting polymer-based neuromorphic bioelectronics will accelerate the commercialization of human-machine interfacial systems, including intelligent prosthetics and implantable diagnostic devices.

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