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 …

Structure, function, and pharmacology of glutamate receptor ion channels

KB Hansen, LP Wollmuth, D Bowie, H Furukawa… - Pharmacological …, 2021 - Elsevier
Many physiologic effects of l-glutamate, the major excitatory neurotransmitter in the
mammalian central nervous system, are mediated via signaling by ionotropic glutamate …

Memristors based on 2D materials as an artificial synapse for neuromorphic electronics

W Huh, D Lee, CH Lee - Advanced materials, 2020 - Wiley Online Library
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 …

Understanding plasticity in neural networks

C Lyle, Z Zheng, E Nikishin, BA Pires… - International …, 2023 - proceedings.mlr.press
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 …

Towards spike-based machine intelligence with neuromorphic computing

K Roy, A Jaiswal, P Panda - Nature, 2019 - nature.com
Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain-
inspired computing for machine intelligence—promises to realize artificial intelligence while …

Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware

N Rathi, I Chakraborty, A Kosta, A Sengupta… - ACM Computing …, 2023 - dl.acm.org
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 …

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 …

Assessing the mechanisms of brain plasticity by transcranial magnetic stimulation

A Jannati, LM Oberman, A Rotenberg… - …, 2023 - nature.com
Transcranial magnetic stimulation (TMS) is a non-invasive technique for focal brain
stimulation based on electromagnetic induction where a fluctuating magnetic field induces a …

Adaptive dynamical networks

R Berner, T Gross, C Kuehn, J Kurths, S Yanchuk - Physics Reports, 2023 - Elsevier
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 …

Ferroelectrics-integrated two-dimensional devices toward next-generation electronics

T **, J Mao, J Gao, C Han, KP Loh, ATS Wee… - ACS nano, 2022 - ACS Publications
Ferroelectric materials play an important role in a wide spectrum of semiconductor
technologies and device applications. Two-dimensional (2D) van der Waals (vdW) …