Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …

With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …

The application of hardware‐based neural networks can be enhanced by integrating
sensory neurons and synapses that enable direct input from external stimuli. This work …

The leaky integrate-and-fire (LIF) model of artificial neurons has been widely studied owing
to its potential applications in performing signal integration, firing function and the decay of …

For the first time, a configurable NbOx memristor is achieved that can be configured as an
artificial synapse or neuron after fabrication by controlling the forming compliance current …

Devices with volatile memristive switching and self‐sustained relaxation oscillations have
received significant attention for their use in neuromorphic computing and solving …

Neural circuits with specific structures and diverse neuronal firing features are the
foundation for supporting intelligent tasks in biology and are regarded as the driver for …

Brain–computer interfaces (BCIs) that enable human–machine interaction have immense
potential in restoring or augmenting human capabilities. Traditional BCIs are realized based …

NbOx-based devices exhibit intriguing promise for beyond-CMOS applications due to their
dynamic threshold switching (TS) and negative differential resistance (NDR) behaviors …

With scalability and diverse device behavior, memristors present potential for executing
neuromorphic computation with lower hardware cost and power consumption. However …