With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …

The rapid development in the semiconductor industry has become the fundamental booster
for computational systems where memory devices are the essential components to retain …

Artificial neurons with leaky rectified linear unit (L‐ReLU) function can effectively process
negative information, enhancing the neuromorphic systems capbility to handle negative …

In spiking neural networks (SNNs), artificial sensor neurons are crucial for converting real‐
world analog information into encoded spikes. However, existing SNNs face challenges due …

Self-sustained electrical oscillations (SEOs) in VO 2 films have attracted considerable
attention owing to their potential to emulate spiking pulses in neuromorphic circuits …

Mott devices, featuring low hardware cost and high energy efficiency, have been
demonstrated as a key oscillatory element in artificial neurons to enable spiking neural …

Time–frequency analysis plays a crucial role in various fields, including signal processing
and feature extraction. In this article, we propose an alternative and innovative method for …

Neuronal oscillation, as the fundamental component of information processing and
transmission in the brain, plays a pivotal role in human cognition, learning, and memory. In …

The metal–insulator transition (MIT) in polycrystalline vanadium dioxide (VO 2) is less sharp
than in single-crystal VO 2 due to the presence of grain boundaries (GBs). The MIT causes a …

Network slicing is the practice of implementing multiple virtualized and independent
architectures on a single physical network infrastructure, in a way that allows for multiplexing …