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

Bio‐inspired machine visions have caused wide attentions due to the higher time/power
efficiencies over the conventional architectures. Although bio‐mimic photo‐sensors and …

The rapid development of the artificial intelligence field has increased the demand for retina-
inspired neuromorphic vision sensors with integrated sensing, memory, and processing …

To meet the requirement of data-intensive computing in the data-explosive era, brain-
inspired neuromorphic computing have been widely investigated for the last decade …

In order to imitate brain-inspired biological information processing systems, various
neuromorphic computing devices have been proposed, most of which were prepared on …

The neuromorphic system is an attractive platform for next-generation computing with low
power and fast speed to emulate knowledge-based learning. Here, we design ferroelectric …

Recently, the increasing demand for data-centric applications is driving the elimination of
image sensing, memory and computing unit interface, thus promising for latency-and energy …

Neuromorphic computing that mimics the biological brain has been demonstrated as a next-
generation computing method due to its low power consumption and parallel data …

Neuromorphic machines are intriguing for building energy-efficient intelligent systems,
where spiking neurons are pivotal components. Recently, memristive neurons with …

Neuromorphic visual sensory and memory systems, which can perceive, process, and
memorize optical information, represent core technology for artificial intelligence and …