With the rapid progress of artificial intelligence, various perception networks were
constructed to enable Internet of Things (IoT) applications, thereby imposing formidable …

VO2 stands out as a unique material manifesting intrinsically coupled electronic and phase
transitions. The novel electric field–activated phase transition behaviours, along with the …

The development of low-power neurons with an intrinsic degree of stochasticity is
considered quite important for the emulation of the respective probabilistic procedures that …

In this work, high‐performance VO2 Mott memristors with the simple via‐hole structure of
Pt/VO2/Pt are fabricated on flexible Kapton polymide (PI) substrate with high endurance (> …

Thermoreceptors can encode thermal stimuli into spikes that are processed by the neural
network to endow human with thermal perception. Such energy-efficiency and robust …

With scalability and diverse device behavior, memristors present potential for executing
neuromorphic computation with lower hardware cost and power consumption. However …

Neuromorphic computing based on spiking neural networks (SNNs) has attracted significant
research interest due to its low energy consumption and high similarity to biological neural …

Inspired by biological mechanoreceptors, we present a flexible artificial mechanoreceptor
(FAM) based on high-performance VO 2 insulator-metal transition (IMT) memristor with the …

Vanadium dioxide (VO2) microresistors exhibit resistive switching above a certain threshold
voltage, allowing them to emulate neurons in neuromorphic systems. However, such …

Neurons are basic elements of the human brain to transmit and process various kinds of
information. Besides the synaptic plasticity, the neuronal intrinsic plasticity (NIP) plays a vital …