Emerging flexible artificial sensory systems using neuromorphic electronics have been
considered as a promising solution for processing massive data with low power …

A spiking neural network (SNN) inspired by the structure and principles of the human brain
can significantly enhance the energy efficiency of artificial intelligence computing by …

Abstract Machine vision systems that capture images for visual inspection and identification
tasks have to be able to perceive a scene under a range of illumination conditions. To …

With the development and application of artificial intelligence, there is an appeal to the
exploitation of various sensors and memories. As the most important perception of human …

Human behaviors are extremely sophisticated, relying on the adaptive, plastic and event-
driven network of sensory neurons. Such neuronal system analyzes multiple sensory cues …

Photosynaptic organic field‐effect transistors (OFETs) represent a viable pathway to develop
bionic optoelectronics. However, the high operating voltage and current of traditional …

The development of artificial visual systems that mimic biological systems requires devices
that can autonomously adapt their response to varying stimuli. However, emulating …

We fabricated a nanowire-channel intrinsically stretchable neuromorphic transistor (NISNT)
that perceives both tactile and visual information and emulates neuromorphic processing …

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

Simulation of biological visual perception has gained considerable attention. In this paper,
an optoelectrical In2O3 transistor array with a negative photoconductivity behavior is …