Biological function simulation in neuromorphic devices: from synapse and neuron to behavior

H Chen, H Li, T Ma, S Han, Q Zhao - Science and Technology of …, 2023 - Taylor & Francis
As the boom of data storage and processing, brain-inspired computing provides an effective
approach to solve the current problem. Various emerging materials and devices have been …

Artificial neural networks based on memristive devices: From device to system

HM Huang, Z Wang, T Wang, Y **ao… - Advanced Intelligent …, 2020 - Wiley Online Library
Memristive devices are essential for artificial neural networks (ANNs) due to their similarity to
biological synapses and neurons in structure, dynamics, and electrical behaviors. By …

Organic neuromorphic electronics for sensorimotor integration and learning in robotics

I Krauhausen, DA Koutsouras, A Melianas… - Science …, 2021 - science.org
In living organisms, sensory and motor processes are distributed, locally merged, and
capable of forming dynamic sensorimotor associations. We introduce a simple and efficient …

Neuromorphic skin based on emerging artificial synapses

Y Lee, JY Oh, TW Lee - Advanced Materials Technologies, 2022 - Wiley Online Library
Neuromorphic skin is an emerging electronic skin that demonstrates sensory, memory,
learning, and motor responses in a neuromorphic way by using advanced artificial synaptic …

An artificial neuromuscular junction for enhanced reflexes and oculomotor dynamics based on a ferroelectric CuInP2S6/GaN HEMT

M Park, JY Yang, MJ Yeom, B Bae, Y Baek, G Yoo… - Science …, 2023 - science.org
A neuromuscular junction (NMJ) is a particularized synapse that activates muscle fibers for
macro-motions, requiring more energy than computation. Emulating the NMJ is thus …

Emerging low‐dimensional heterostructure devices for neuromorphic computing

SJ Liang, Y Li, B Cheng, F Miao - Small Structures, 2022 - Wiley Online Library
Over the last few decades, advance in material science has made it possible to control the
dimensions of materials structures with atomic scale precision and to realize various low …

Artificial sensory system based on memristive devices

JY Kwon, JE Kim, JS Kim, SY Chun, K Soh… - …, 2024 - Wiley Online Library
In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

Research progress of artificial neural systems based on memristors

Z Tang, B Sun, G Zhou, Y Zhou, Z Cao, X Duan… - Materials Today …, 2024 - Elsevier
The artificial nervous system includes electronic devices designed to simulate the functions
of the biological nervous system, thereby endowing them with the ability to perceive …

Neuromorphic electronics for robotic perception, navigation and control: A survey

Y Yang, C Bartolozzi, HH Zhang… - Engineering Applications of …, 2023 - Elsevier
Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Review of applications of 2D materials in memristive neuromorphic circuits

L Wang, X Shen, Z Gao, J Fu, S Yao, L Cheng… - Journal of Materials …, 2022 - Springer
Neuromorphic systems with large-scale parallel computing capability and low power
consumption have become important for the development of artificial intelligence …