Porous crystalline materials for memories and neuromorphic computing systems
G Ding, JY Zhao, K Zhou, Q Zheng, ST Han… - Chemical Society …, 2023 - pubs.rsc.org
Porous crystalline materials usually include metal–organic frameworks (MOFs), covalent
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
organic frameworks (COFs), hydrogen-bonded organic frameworks (HOFs) and zeolites …
Structure, function, and pharmacology of glutamate receptor ion channels
Many physiologic effects of l-glutamate, the major excitatory neurotransmitter in the
mammalian central nervous system, are mediated via signaling by ionotropic glutamate …
mammalian central nervous system, are mediated via signaling by ionotropic glutamate …
Neuromorphic functions with a polyelectrolyte-confined fluidic memristor
T **ong, C Li, X He, B **e, J Zong, Y Jiang, W Ma, F Wu… - Science, 2023 - science.org
Reproducing ion channel–based neural functions with artificial fluidic systems has long
been an aspirational goal for both neuromorphic computing and biomedical applications. In …
been an aspirational goal for both neuromorphic computing and biomedical applications. In …
Artificial neuron devices
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …
biological systems have long been a coveted goal. Recent advancements in flexible …
Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels
Fine-tuned ion transport across nanoscale pores is key to many biological processes,
including neurotransmission. Recent advances have enabled the confinement of water and …
including neurotransmission. Recent advances have enabled the confinement of water and …
Memristors based on 2D materials as an artificial synapse for neuromorphic electronics
The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …
important electronic components for brain‐inspired neuromorphic computing in recent years …
Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …
attention lately due to its promise of reducing the computational energy, latency, as well as …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
Electronic skin: recent progress and future prospects for skin‐attachable devices for health monitoring, robotics, and prosthetics
Recent progress in electronic skin or e‐skin research is broadly reviewed, focusing on
technologies needed in three main applications: skin‐attachable electronics, robotics, and …
technologies needed in three main applications: skin‐attachable electronics, robotics, and …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …