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

Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

In neuromorphic hardware, peripheral circuits and memories based on heterogeneous
devices are generally physically separated. Thus, exploration of homogeneous devices for …

Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

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

Neuromorphic photonics system based on the principle of biological brain is emerging as
one of the potential solutions to the bottleneck inherent in classical von Neumann computing …

Neuromorphic architectures are in the spotlight as promising candidates for substituting
current computing systems owing to their high operation speed, scale‐down ability, and …

Sensory adaptation is an essential part of biological neural systems for sustaining human
life. Using the light-induced halide phase segregation of CsPb (Br1–x I x) 3 perovskite, we …

Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …

Memristive devices are considered one of the most promising candidates to overcome
technological limitations for realizing next‐generation memories, logic applications, and …