Designing transparent flexible electronics with multi‐biological neuronal functions and
superior flexibility is a key step to establish wearable artificial intelligence equipment. Here …

The cointegration of artificial neuronal and synaptic devices with homotypic materials and
structures can greatly simplify the fabrication of neuromorphic hardware. We demonstrate …

Considering that the human brain uses≈ 1015 synapses to operate, the development of
effective artificial synapses is essential to build brain‐inspired computing systems. In …

The emulation of synaptic plasticity to achieve sophisticated cognitive functions and
adaptive behaviors is critical to the evolution of neuromorphic computation and artificial …

Neuromorphic computers, which can store information and compute at the same time, have
been considered to be a potential candidate for greatly improving computing efficiency. The …

Neuromorphic computing has shown remarkable capabilities in silicon-based artificial
intelligence, which can be optimized by using Mott materials for functional synaptic …

Low power electronics endowed with artificial intelligence and biological afferent characters
are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory …

Electronic synaptic devices are important building blocks for neuromorphic computational
systems that can go beyond the constraints of von Neumann architecture. Although two …

Neuromorphic devices and systems with ultralow power consumption are important in
building artificial intelligent systems. Here, indium tin oxide (ITO)-based oxide neuromorphic …

An electro-optical modulation synaptic device is proposed; it can emulate both brain-like
processing and nervous perception functions by using a special nanoparticle-based …