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 …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

Neuromorphic perception systems inspired by biology have tremendous potential in
efficiently processing multi-sensory signals from the physical world, but a highly efficient …

Infrared machine vision system for object perception and recognition is becoming
increasingly important in the Internet of Things era. However, the current system suffers from …

Mechanoreceptors endow humans with the sense of touch by translating the external stimuli
into coded spikes, inspiring the rise of artificial mechanoreceptor systems. However, to …

The biological visual system encodes optical information into spikes and processes them by
the neural network, which enables the perception with high throughput of visual processing …

A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a
chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single …

The development of artificial intelligence has posed a challenge to machine vision based on
conventional complementary metal‐oxide semiconductor (CMOS) circuits owing to its high …

The recent advances in optic neuromorphic devices have led to a subsequent rise in use for
construction of energy‐efficient artificial‐vision systems. The widespread use can be …

The cone photoreceptors in our eyes selectively transduce the natural light into spiking
representations, which endows the brain with high energy-efficiency color vision. However …