Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

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

Selective attention is an efficient processing strategy to allocate computational resources for
pivotal optical information. However, the hardware implementation of selective visual …

Visual adaptation allows organisms to accurately perceive the external world even in
dramatically changing environments, from dim starlight to bright sunlight. In particular …

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Simulating biological synaptic functionalities through artificial synaptic devices opens up an
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …

Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …

The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …

Multisensory integration is a salient feature of the brain which enables better and faster
responses in comparison to unisensory integration, especially when the unisensory cues …

Neuromorphic computing simulates the operation of biological brain function for information
processing and can potentially solve the bottleneck of the von Neumann architecture. This …