Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

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

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 …

Inspired by the biological neuromorphic system, which exhibits a high degree of connectivity
to process huge amounts of information, photonic memory is expected to pave a way to …

A neuromorphic computing system may be able to learn and perform a task on its own by
interacting with its surroundings. Combining such a chip with complementary metal–oxide …

Recently, three-terminal synaptic devices have attracted considerable attention owing to
their nondestructive weight-update behavior, which is attributed to the completely separated …

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

In-memory computing architectures based on memristive crossbar arrays could offer higher
computing efficiency than traditional hardware in deep learning applications. However, the …

Human eyes undertake the majority of information assimilation for learning and memory.
Transduction of the color and intensity of the incident light into neural signals is the main …

Facing the exponential growth of data digital communications and the advent of artificial
intelligence, there is an urgent need for information technologies with huge storage capacity …