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 …
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 …
Understanding plasticity in neural networks
Plasticity, the ability of a neural network to quickly change its predictions in response to new
information, is essential for the adaptability and robustness of deep reinforcement learning …
information, is essential for the adaptability and robustness of deep reinforcement learning …
Towards spike-based machine intelligence with neuromorphic computing
Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain-
inspired computing for machine intelligence—promises to realize artificial intelligence while …
inspired computing for machine intelligence—promises to realize artificial intelligence while …
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 …
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 …
Assessing the mechanisms of brain plasticity by transcranial magnetic stimulation
Transcranial magnetic stimulation (TMS) is a non-invasive technique for focal brain
stimulation based on electromagnetic induction where a fluctuating magnetic field induces a …
stimulation based on electromagnetic induction where a fluctuating magnetic field induces a …
Adaptive dynamical networks
It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …
structural organization. Adaptive dynamical networks represent a broad class of systems that …
Ferroelectrics-integrated two-dimensional devices toward next-generation electronics
Ferroelectric materials play an important role in a wide spectrum of semiconductor
technologies and device applications. Two-dimensional (2D) van der Waals (vdW) …
technologies and device applications. Two-dimensional (2D) van der Waals (vdW) …