Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

Neuromorphic computing is a promising computing paradigm toward building next-
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …

With the development of artificial intelligence, the demand for brain-like intelligent devices
capable of breaking the von Neumann bottleneck is growing. In light of the advantages of …

Neuromorphic computing is a brain-inspired computing paradigm that aims to construct
efficient, low-power, and adaptive computing systems by emulating the information …

Over the past several years, a variety of hardware‐based artificial sensory systems,
including artificial skin, electronic noses, and artificial retinas, have attracted considerable …

To meet the requirement of data-intensive computing in the data-explosive era, brain-
inspired neuromorphic computing have been widely investigated for the last decade …

Neuromorphic computing systems inspired by the human brain emulate biological synapses
electronically for information handling and processing. Recently, memristive switching …

Due to the constraints imposed by physical effects and performance degradation, silicon-
based chip technology is facing certain limitations in sustaining the advancement of Moore's …

The dynamic modulation of the plasticity of artificial neuromorphic devices facilitates a wide
range of neuromorphic functions. However, integrating diverse plasticity modulation …

We show how any finite physical system with morphological, ie three-dimensional
embedding or shape, degrees of freedom and locally limited free energy will, under the …