A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Flexible neuromorphic electronics for computing, soft robotics, and neuroprosthetics

HL Park, Y Lee, N Kim, DG Seo, GT Go… - Advanced …, 2020 - Wiley Online Library
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Organic neuroelectronics: from neural interfaces to neuroprosthetics

GT Go, Y Lee, DG Seo, TW Lee - Advanced Materials, 2022 - Wiley Online Library
Requirements and recent advances in research on organic neuroelectronics are outlined
herein. Neuroelectronics such as neural interfaces and neuroprosthetics provide a …

Organic synapses for neuromorphic electronics: from brain-inspired computing to sensorimotor nervetronics

Y Lee, TW Lee - Accounts of chemical research, 2019 - ACS Publications
Conspectus Living organisms have a long evolutionary history that has provided them with
functions and structures that enable them to survive in their environment. The goal of …

Organic synaptic transistors: The evolutionary path from memory cells to the application of artificial neural networks

L Shao, Y Zhao, Y Liu - Advanced Functional Materials, 2021 - Wiley Online Library
The progress of neural synaptic devices is experiencing an era of explosive growth. Given
that the traditional storage system has yet to overcome the von Neumann bottleneck, it is …

Organic and perovskite memristors for neuromorphic computing

HL Park, TW Lee - Organic Electronics, 2021 - Elsevier
Organic and perovskite memristors have superior characteristics both in material and
structural perspectives, and therefore have been evaluated for possible integration as bio …

Ferroelectric polymers for neuromorphic computing

X Niu, B Tian, Q Zhu, B Dkhil, C Duan - Applied Physics Reviews, 2022 - pubs.aip.org
The last few decades have witnessed the rapid development of electronic computers relying
on von Neumann architecture. However, due to the spatial separation of the memory unit …

Carbon Nanotube Optoelectronic Synapse Transistor Arrays with Ultra‐Low Power Consumption for Stretchable Neuromorphic Vision Systems

T Xie, Q Wang, M Li, Y Fang, G Li… - Advanced Functional …, 2023 - Wiley Online Library
High‐performance stretchable optoelectronic synaptic transistor arrays are key units for
constructing and mimicking simulated neuromorphic vision systems. In this study, ultra‐low …

Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era

J Li, H Abbas, DS Ang, A Ali, X Ju - Nanoscale horizons, 2023 - pubs.rsc.org
Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …

Ferroelectric polymers for non‐volatile memory devices: a review

H Li, R Wang, ST Han, Y Zhou - Polymer International, 2020 - Wiley Online Library
Ferroelectric memories have attracted great attention for data storage, and ferroelectric
polymers have been widely studied with the development of flexible and wearable devices …