Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

Artificial skin perception

M Wang, Y Luo, T Wang, C Wan, L Pan… - Advanced …, 2021 - Wiley Online Library
Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The
emulation of human skin via flexible and stretchable electronics gives rise to electronic skin …

Synaptic devices based neuromorphic computing applications in artificial intelligence

B Sun, T Guo, G Zhou, S Ranjan, Y Jiao, L Wei… - Materials Today …, 2021 - Elsevier
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

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 …

Emerging iontronic neural devices for neuromorphic sensory computing

S Dai, X Liu, Y Liu, Y Xu, J Zhang, Y Wu… - Advanced …, 2023 - Wiley Online Library
Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …

Fusing stretchable sensing technology with machine learning for human–machine interfaces

M Wang, T Wang, Y Luo, K He, L Pan… - Advanced Functional …, 2021 - Wiley Online Library
Sensors and algorithms are two fundamental elements to construct intelligent systems. The
recent progress in machine learning (ML) has produced great advancements in intelligent …

Organic electronic synapses with low energy consumption

Y Lee, HL Park, Y Kim, TW Lee - Joule, 2021 - cell.com
The von Neumann computing architecture consists of separated processing and memory
elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial …

Flexible carbon nanotube synaptic transistor for neurological electronic skin applications

H Wan, Y Cao, LW Lo, J Zhao, N Sepulveda, C Wang - ACS nano, 2020 - ACS Publications
There is an increasing interest in the development of memristive or artificial synaptic devices
that emulate the neuronal activities for neuromorphic computing applications. While there …

Protonic solid-state electrochemical synapse for physical neural networks

X Yao, K Klyukin, W Lu, M Onen, S Ryu, D Kim… - Nature …, 2020 - nature.com
Physical neural networks made of analog resistive switching processors are promising
platforms for analog computing. State-of-the-art resistive switches rely on either conductive …

Adaptive biosensing and neuromorphic classification based on an ambipolar organic mixed ionic–electronic conductor

Y Zhang, ERW van Doremaele, G Ye… - Advanced …, 2022 - Wiley Online Library
Organic mixed ionic–electronic conductors (OMIECs) are central to bioelectronic
applications such as biosensors, health‐monitoring devices, and neural interfaces, and …