With many fantastic properties, memristive devices are a top candidate for next‐generation
memory and neuromorphic computing chips. Significant research progress has been made …

Although the structure and function of the human brain are still far from being fully
understood, brain‐inspired computing architectures mainly consisting of artificial neurons …

In an increasingly data-rich world the need for developing computing systems that cannot
only process, but ideally also interpret big data is becoming continuously more pressing …

Neuromorphic systems are gaining increasing importance in an era where CMOS digital
computing techniques are reaching physical limits. These silicon systems mimic extremely …

We have developed a new floating-gate silicon MOS transistor for analog learning
applications. The memory storage is nonvolatile; hot-electron injection and electron …

In this paper, we review some of the novel emerging memory technologies and how they
can enable energy-efficient implementation of large neuromorphic computing systems. We …

Motivated by consumer demand for smaller, more portable electronic devices that offer more
features and operate for longer on their existing battery packs, cutting edge electronic …

In order to map the computing architecture and intelligent functions of the human brain on
hardware, we need electronic devices that can emulate biological synapses and even …

We present a single-chip array of 100 biologically-based electronic neuron models
interconnected to each other and the outside environment through 30,000 synapses. The …

Neuromorphic computing based on a non‐von Neumann architecture is a promising way for
the efficient implementation of artificial intelligence. A neuromorphic computing system is …