Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

This review addresses resistive switching devices operating according to the bipolar
valence change mechanism (VCM), which has become a major trend in electronic materials …

A nociceptor is a critical and special receptor of a sensory neuron that is able to detect
noxious stimulus and provide a rapid warning to the central nervous system to start the …

To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

Resistive switching (RS) phenomena are reversible changes in the metastable resistance
state induced by external electric fields. After discovery∼ 50 years ago, RS phenomena …

As machine vision technology generates large amounts of data from sensors, it requires
efficient computational systems for visual cognitive processing. Recently, in-sensor …

Memristive devices are promising candidates for the next generation non-volatile memory
and neuromorphic computing. It has been widely accepted that the motion of oxygen anions …

Memristive systems offer biomimetic functions that are being actively explored for energy‐
efficient neuromorphic circuits. In addition to providing ultimate geometric scaling limits, 2D …

Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges
as a promising paradigm to build power-efficient computing hardware for high density data …