Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

The traditional von Neumann architecture is gradually failing to meet the urgent need for
highly parallel computing, high-efficiency, and ultra-low power consumption for the current …

Capable of reflecting the location and intensity of external harmful stimuli, a nociceptor
network is of great importance for receiving pain-perception information. However, the …

Physical reservoir computing (PRC) is thought to be a potential low training-cost temporal
processing platform, which has been explored by the nonlinear and volatile dynamics of …

In this study, the authors fabricate Sn‐doped 100‐nm thick polycrystalline β‐Ga2O3 synaptic
field‐effect transistors (FETs) emulating optical and electrical spike stimulation. When …

Hardware implementation of Bienenstock–Cooper–Munro (BCM) learning rules would be of
great implications toward artificial intelligent systems. In this work, amorphous indium …

In this study, we studied the effect of Al 2 O 3 layer insertion on InGaZnO (IGZO) memristors
by fabricating two kinds of crossbar arrays according to the presence or absence of the Al 2 …

Neuromorphic Computing (NC) is considered as the next generation of artificial intelligence
(AI). AI can transform the way people live and work, however, the current Neumann …

Synaptic plasticity divided into long-term and short-term categories is regarded as the origin
of memory and learning, which also inspires the construction of neuromorphic systems …

A transparent thin film transistor (TFT) based on the combination of an InGaZnO channel and
a high-κ (the dielectric constant is about 42.6) TaOx gate dielectric layer is fabricated. The …