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

Brain‐inspired neuromorphic computing is intended to provide effective emulation of the
functionality of the human brain via the integration of electronic components. Recent studies …

Just as biological synapses provide basic functions for the nervous system, artificial synaptic
devices serve as the fundamental building blocks of neuromorphic networks; thus …

Get in-depth understanding of each part of visual pathway yields insights to conquer the
challenges that classic computer vision is facing. Here, we first report the bioinspired striate …

Ferromagnets with binary states are limited for applications as artificial synapses for
neuromorphic computing. Here, it is shown how synaptic plasticity of a perpendicular …

Emulation of brain‐like signal processing is the foundation for development of efficient
learning circuitry, but few devices offer the tunable conductance range necessary for …

Organic–inorganic halide perovskite materials exhibit excellent memristive properties, such
as a high on/off ratio and low switching voltage. However, most studies have focused on Pb …

Emulating key synaptic functions in electronic devices is quite significant in bioinspired
applications. Artificial synaptic thin film transistors (TFT) offer a promising solution for …

In the era of a trillion sensors, a tremendous number of sensors will be consumed to collect
information for big data analysis. Once they are installed in a harsh environment or …

Optoelectronic memristors based on amorphous oxide semiconductors (AOSs) are
promising devices for the development of spiking neural network (SNN) hardware in …